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Jul 8, 2025 · Artificial Intelligence

Explore Cutting-Edge AI Knowledge Graphs: From Multimodal GraphRAG to Industry Applications

This article presents a curated catalog of cutting‑edge AI resources, covering multimodal GraphRAG, knowledge‑graph and large‑model integration, financial industry AI products, Chinese‑medicine decision support, AI‑driven knowledge‑graph evolution, private‑domain Q&A pipelines, and emerging trends and standards, with a QR code for the full ebook.

Document IntelligenceKnowledge GraphMultimodal AI

0 likes · 2 min read

Explore Cutting-Edge AI Knowledge Graphs: From Multimodal GraphRAG to Industry Applications

DataFunSummit

Jul 6, 2025 · Artificial Intelligence

AI-Driven Knowledge Graphs: Key Insights from Multimodal GraphRAG Research

This article presents a comprehensive overview of cutting‑edge research on integrating large language models with knowledge graphs, covering multimodal GraphRAG, financial AI solutions, traditional Chinese medicine decision support, and industry‑specific knowledge services, guiding readers through emerging paradigms and practical implementations.

AIEnterprise AIKnowledge Graph

0 likes · 2 min read

AI-Driven Knowledge Graphs: Key Insights from Multimodal GraphRAG Research

Fun with Large Models

Jul 4, 2025 · Artificial Intelligence

Boost Answer Accuracy with GraphRAG: End‑to‑End Microsoft GraphRAG Code Walkthrough

This article walks through the complete GraphRAG workflow—from environment setup and indexing to command‑line and Python API queries—demonstrating how to build a knowledge graph, tune prompts, and retrieve high‑quality answers using Microsoft’s GraphRAG implementation.

GraphRAGKnowledge GraphMicrosoft

0 likes · 25 min read

Boost Answer Accuracy with GraphRAG: End‑to‑End Microsoft GraphRAG Code Walkthrough

AI Algorithm Path

Jul 3, 2025 · Artificial Intelligence

Exploring Advanced, Graph, and Agentic RAG: The Evolution of Retrieval‑Augmented Generation

This article examines how Retrieval‑Augmented Generation (RAG) has progressed from simple keyword‑based retrieval to advanced semantic methods, modular architectures, graph‑enhanced reasoning, and autonomous agentic systems, highlighting each approach's workflow, benefits, limitations, and the shift toward dynamic AI decision‑making.

AIAgentic RAGGraph RAG

0 likes · 7 min read

Exploring Advanced, Graph, and Agentic RAG: The Evolution of Retrieval‑Augmented Generation

Fun with Large Models

Jun 27, 2025 · Artificial Intelligence

Boost Answer Accuracy: Detailed GraphRAG Retrieval Steps with Knowledge Graphs

This article walks through GraphRAG’s retrieval phase, showing how knowledge‑graph entities, relationships, and community reports are assembled into a query context, comparing local and global modes with traditional RAG, and illustrating the process with a concrete “Age of Big Data” example.

GraphRAGKnowledge GraphLLM

0 likes · 14 min read

Boost Answer Accuracy: Detailed GraphRAG Retrieval Steps with Knowledge Graphs

Fun with Large Models

Jun 23, 2025 · Artificial Intelligence

Boost RAG Answer Accuracy: Detailed Step‑by‑Step GraphRAG Knowledge‑Graph Construction

This article walks through the complete GraphRAG knowledge‑graph building pipeline—text splitting, entity extraction, relation mining, community clustering, and report generation—using a concrete example from the book “The Age of Big Data,” and explains why each step improves retrieval and answer quality.

GraphRAGKnowledge GraphRAG

0 likes · 20 min read

Boost RAG Answer Accuracy: Detailed Step‑by‑Step GraphRAG Knowledge‑Graph Construction

Fun with Large Models

Jun 19, 2025 · Artificial Intelligence

How GraphRAG Boosts Answer Accuracy with Knowledge Graphs (Part 1)

This article explains GraphRAG’s architecture, compares it with traditional RAG, and presents experimental results showing that GraphRAG’s knowledge‑graph‑driven retrieval markedly improves answer accuracy, especially on low‑match, multi‑paragraph queries.

GraphRAGKnowledge GraphPerformance Evaluation

0 likes · 11 min read

How GraphRAG Boosts Answer Accuracy with Knowledge Graphs (Part 1)

Amap Tech

Jun 17, 2025 · Artificial Intelligence

Building an AI-Powered Testing Ecosystem: From Core Principles to Automation

This article explores how a testing team can abstract core testing capabilities, construct a unified testing ecosystem, and integrate AI at strategic points—from data aggregation and automated analysis to knowledge‑base driven requirement enhancement and fully automated test case generation—ultimately turning quality assurance into a collaborative human‑AI partnership.

AIAutomationKnowledge Graph

0 likes · 37 min read

Building an AI-Powered Testing Ecosystem: From Core Principles to Automation

DevOps

Jun 16, 2025 · Artificial Intelligence

Unlock AI’s Real‑World Power: 6 Must‑Have MCP Tools with Hands‑On Code

This article reviews six open‑source MCP servers—Bright Data, Graphiti, GitIngest, Terminal, Code Executor, and MindsDB—showing how each extends large language models with web scraping, long‑term memory, code navigation, command‑line control, sandboxed Python execution, and multi‑source data integration, complete with practical code examples.

AI toolsCode ExecutionKnowledge Graph

0 likes · 9 min read

Unlock AI’s Real‑World Power: 6 Must‑Have MCP Tools with Hands‑On Code

Sohu Tech Products

Jun 11, 2025 · Artificial Intelligence

How DeepSeek and TiDB AI Are Redefining Data Engines for the Large‑Model Era

This article explores DeepSeek's open‑source large‑model breakthroughs, PingCAP's AI‑enhanced database roadmap, TiDB.AI's retrieval‑augmented generation framework, the unified TiDB data engine, and practical Q&A insights on knowledge‑graph construction, vector search, and AI‑driven SQL generation.

AIDeepSeekKnowledge Graph

0 likes · 15 min read

How DeepSeek and TiDB AI Are Redefining Data Engines for the Large‑Model Era

ITFLY8 Architecture Home

Jun 7, 2025 · Artificial Intelligence

How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”

The article explains how large AI models are evolving from simple chatbots into reasoning-powered agents integrated with massive domain knowledge, creating powerful “industrial brains” that can understand and solve complex real‑world problems, reshaping the future of IT and the internet industry.

AIKnowledge Graphagents

0 likes · 6 min read

How AI Reasoning and Agents Are Transforming Industry: The Rise of the “Industrial Brain”

DataFunSummit

Jun 2, 2025 · Artificial Intelligence

Enterprise Knowledge Brain Powered by Large Models and Knowledge Graphs

This article explains how the rapid development of large language models and knowledge graph technologies creates new opportunities for enterprise knowledge management, outlines the challenges of massive unstructured data, describes the architecture and core data flow of a corporate knowledge brain, and showcases key technologies and real‑world applications.

AI ArchitectureData IntegrationEnterprise AI

0 likes · 13 min read

Enterprise Knowledge Brain Powered by Large Models and Knowledge Graphs

phodal

May 28, 2025 · Artificial Intelligence

Boost Code Retrieval with AutoDev’s Pre‑Generated Context Worker

The article explains how AutoDev’s Context Worker pre‑generates semantic code context to improve RAG performance, outlines the limitations of vector‑based retrieval, describes the tool’s multi‑language AST analysis, knowledge‑graph construction, and provides command‑line usage examples for integrating the generated context into AI‑driven development workflows.

AIASTCLI

0 likes · 8 min read

Boost Code Retrieval with AutoDev’s Pre‑Generated Context Worker

Fighter's World

May 24, 2025 · Artificial Intelligence

Why Glean Leads Enterprise Search: What Makes It So Powerful?

The article examines Glean’s evolution from an enterprise‑search startup to a comprehensive Work AI Platform, detailing its market growth, competitive positioning, technical architecture—including data connectors, knowledge graphs, custom models, and agent reasoning—and the strategic challenges it must overcome to sustain its lead.

AI PlatformAgentContextual AI

0 likes · 30 min read

Why Glean Leads Enterprise Search: What Makes It So Powerful?

AntTech

May 6, 2025 · Information Security

Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions

This article presents a comprehensive overview of the security challenges in HarmonyOS native ArkTS applications and describes the design and implementation of a specialized static analysis framework—including source extraction, data‑flow and inter‑function analysis, knowledge‑graph construction, and risk inference engine—while also outlining integration into development pipelines and future research directions.

Knowledge GraphRisk DetectionarkTS

0 likes · 17 min read

Security Risk Detection for HarmonyOS ArkTS Code: Architecture, Analysis Framework, and Future Directions

DataFunSummit

Apr 21, 2025 · Artificial Intelligence

Deep Integration of Knowledge Graphs and Large Language Models: Methods, Applications, and Future Directions

This article explores how knowledge graphs can be tightly integrated with large language models through prompt engineering, fine‑tuning, retrieval‑augmented generation, reasoning collaboration, and knowledge agents, outlining technical pathways, practical implementations, and future research directions across AI domains.

AIKnowledge GraphRetrieval Augmented Generation

0 likes · 23 min read

Deep Integration of Knowledge Graphs and Large Language Models: Methods, Applications, and Future Directions

DevOps

Apr 20, 2025 · Artificial Intelligence

Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example

This article demonstrates how to construct an AI‑powered medical knowledge base for diabetes treatment by preprocessing literature, performing semantic chunking, generating BioBERT embeddings, storing them in a FAISS vector database, and using a RAG framework together with a knowledge graph to retrieve and generate accurate answers.

BioBERTFAISSKnowledge Graph

0 likes · 12 min read

Building a Medical Knowledge Base with RAG: A Step‑by‑Step Example

Alipay Experience Technology

Apr 16, 2025 · Information Security

How ArkTS Code Security Risks Are Detected: Inside Alibaba’s Cutting‑Edge Analysis Framework

This article details Alibaba's security team's comprehensive approach to detecting ArkTS code vulnerabilities in HarmonyOS apps, covering architectural design, static analysis techniques, knowledge‑graph modeling, CI/CD integration, and future AI‑driven enhancements.

HarmonyOSKnowledge GraphRisk Detection

0 likes · 17 min read

How ArkTS Code Security Risks Are Detected: Inside Alibaba’s Cutting‑Edge Analysis Framework

AntTech

Feb 27, 2025 · Artificial Intelligence

Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion

Researchers from Ant Group and Zhejiang University propose K-ON, a multi-token parallel prediction method that enables large language models to perceive knowledge graph entities through entity-level contrastive learning, achieving superior performance, lower cost, and higher efficiency on KG completion benchmarks.

K-ONKnowledge GraphMulti-token Prediction

0 likes · 8 min read

Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion

Ma Wei Says

Feb 23, 2025 · Artificial Intelligence

How Microsoft’s PIKE‑RAG Builds Knowledge‑Driven AI Across Four Stages

The article explains Microsoft’s open‑source PIKE‑RAG system, detailing its four progressive stages—from knowledge‑base construction to creative multi‑agent reasoning—while describing the underlying modules, chunking strategies, multi‑granularity retrieval, and code snippets that enable specialized domain understanding and inference.

AI RetrievalKnowledge GraphLLM

0 likes · 11 min read

How Microsoft’s PIKE‑RAG Builds Knowledge‑Driven AI Across Four Stages

ZhongAn Tech Team

Feb 22, 2025 · Artificial Intelligence

How SkyReels, DeepSeek NSA, Grok‑3, and KG²RAG Are Shaping the Next AI Wave

This issue reviews China's first open‑source short‑film model SkyReels‑V1, DeepSeek's Native Sparse Attention breakthrough, xAI's massive Grok‑3 deployment on 200k H100 GPUs, and a knowledge‑graph‑guided RAG framework, highlighting their performance gains, architectural innovations, and industry impact.

AIKnowledge GraphRAG

0 likes · 15 min read

How SkyReels, DeepSeek NSA, Grok‑3, and KG²RAG Are Shaping the Next AI Wave

DataFunSummit

Jan 30, 2025 · Databases

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

This article explains how NebulaGraph’s large‑scale graph database can be used to construct real‑time risk‑control knowledge graphs, describes practical applications such as community detection and path analysis, and explores how large language models enhance graph queries through Text‑to‑GQL, agents, exploration chains, and semi‑structured knowledge extraction.

AIKnowledge GraphLLM

0 likes · 11 min read

Mature Practices for Building Risk‑Control Knowledge Graphs on NebulaGraph and Leveraging Large Language Models

Baidu Tech Salon

Jan 21, 2025 · Artificial Intelligence

How AI Is Transforming Legal Research: Inside the YuanDian WenDa Smart Q&A Engine

Faced with billions of legal documents and the shortcomings of keyword search, Chinese legal professionals are turning to the AI‑powered YuanDian WenDa engine, which leverages Baidu's Wenxin model, a structured legal database, and prompt‑engineering to deliver trustworthy, citation‑rich answers and rapid research reports.

AIKnowledge GraphLegalTech

0 likes · 10 min read

How AI Is Transforming Legal Research: Inside the YuanDian WenDa Smart Q&A Engine

AsiaInfo Technology: New Tech Exploration

Dec 9, 2024 · Artificial Intelligence

How Programming Large Models Transform Repository‑Level Code Completion

This article examines how programming large models combined with code knowledge graphs can overcome the limited context of traditional code‑completion tools, detailing key techniques, trigger strategies, context acquisition methods, model fine‑tuning practices, current challenges, and future research directions for intelligent, repository‑wide code suggestions.

AI programmingKnowledge GraphSoftware Engineering

0 likes · 14 min read

How Programming Large Models Transform Repository‑Level Code Completion

360 Tech Engineering

Nov 15, 2024 · Artificial Intelligence

Advances in Multimodal Large Models and Document Understanding Presented at the 2024 Global Machine Learning Conference (Beijing)

At the 2024 Global Machine Learning Conference in Beijing, 360 AI Research Institute showcased cutting‑edge multimodal large‑model research, fine‑grained open‑world object detection, and document understanding technologies, highlighting open‑source releases, real‑world deployments, and competitive achievements in AI competitions.

AI researchKnowledge GraphMultimodal AI

0 likes · 7 min read

Advances in Multimodal Large Models and Document Understanding Presented at the 2024 Global Machine Learning Conference (Beijing)

Alibaba Cloud Developer

Nov 13, 2024 · Artificial Intelligence

Boost RAG Accuracy with GraphRAG: Combining Knowledge Graphs and Vectors on PolarDB

This article explains how to build a GraphRAG system that integrates knowledge graphs and vector embeddings using PolarDB, Alibaba Cloud's Tongyi Qianwen LLM, and LangChain, demonstrating improved retrieval‑augmented generation accuracy through combined graph‑and‑vector search.

GraphRAGKnowledge GraphLangChain

0 likes · 23 min read

Boost RAG Accuracy with GraphRAG: Combining Knowledge Graphs and Vectors on PolarDB

AntTech

Nov 13, 2024 · Information Security

Ant Group’s Large‑Model‑Based Security Parallel Plane and Intelligent Threat Detection System

The article details Ant Group’s AI‑driven security parallel plane and intelligent threat detection system, its DKCF‑based architecture, key modules for data correlation, unknown threat discovery, alarm reduction, and knowledge‑graph integration, and its recognition in the 2024 AI Pioneer Case Collection.

Ant GroupDKCFKnowledge Graph

0 likes · 5 min read

Ant Group’s Large‑Model‑Based Security Parallel Plane and Intelligent Threat Detection System

DataFunSummit

Oct 25, 2024 · Artificial Intelligence

Progress and Standardization of Large Model + Data Intelligence Applications by the China Academy of Information and Communications Technology

This article reviews the China Academy of Information and Communications Technology's advancements in large‑model‑driven data intelligence, covering development trends, key deployment technologies such as prompt engineering, fine‑tuning and RAG, emerging application paradigms, challenges, and a series of newly drafted standards to guide industry adoption.

AIData IntelligenceKnowledge Graph

0 likes · 13 min read

Progress and Standardization of Large Model + Data Intelligence Applications by the China Academy of Information and Communications Technology

Baobao Algorithm Notes

Oct 16, 2024 · Artificial Intelligence

How the DB3 Team Won the Meta CRAG RAG Challenge: Prompts, Retrieval, and LoRA Fine‑Tuning

This article analyzes the Meta Comprehensive RAG (CRAG) benchmark, detailing its three tasks, evaluation metrics, and the champion DB3 team's end‑to‑end solution that combines data preprocessing, dual‑stage retrieval, prompt engineering, LoRA‑based fine‑tuning, and public data augmentation to achieve top scores across all tasks.

BenchmarkKnowledge GraphLLM

0 likes · 17 min read

How the DB3 Team Won the Meta CRAG RAG Challenge: Prompts, Retrieval, and LoRA Fine‑Tuning

JD Retail Technology

Oct 15, 2024 · Artificial Intelligence

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

The article examines how large language models are reshaping JD Retail's e‑commerce search and recommendation pipelines, detailing industry evolution, technical challenges such as knowledge hallucination, intent understanding, personalization, cost, and safety, and presenting JD's end‑to‑end AIGC architecture, data preprocessing, alignment, evaluation, and next‑generation AI search solutions.

AIKnowledge Graphe‑commerce

0 likes · 36 min read

Large‑Model‑Driven Evolution of E‑commerce Search and Recommendation at JD Retail

DataFunTalk

Oct 4, 2024 · Artificial Intelligence

Building a Commercial Intelligence Assistant with Baidu's Wenxin Large Model: Methods, Optimizations, and Future Outlook

This article shares the exploration and practice of using Baidu's Wenxin large model to build a commercial intelligence assistant, highlighting its impact on business revenue and user experience, code generation, knowledge graph integration, database query optimization, and visual analytics for enhanced data analysis.

AI for enterpriseKnowledge GraphSQL generation

0 likes · 17 min read

Building a Commercial Intelligence Assistant with Baidu's Wenxin Large Model: Methods, Optimizations, and Future Outlook

DataFunSummit

Sep 27, 2024 · Artificial Intelligence

Advances in Educational Large Language Models for Youth Programming and Personalized Learning

The presentation by Dr. Su Yu outlines challenges such as data sparsity and delayed learning effects in AI‑driven education, introduces three technical breakthroughs—domain‑specific LLM training, small‑knowledge learning via hierarchical knowledge graphs, and reinforcement‑based cognitive recommendation—and showcases product applications like the Frog Programming Platform, AI Programming Learning Machine, and digital‑human AI recorded courses.

AI educationKnowledge GraphPersonalized Learning

0 likes · 18 min read

Advances in Educational Large Language Models for Youth Programming and Personalized Learning

58 Tech

Sep 23, 2024 · Artificial Intelligence

Enhancing Commercial Search with Knowledge Graphs and Large‑Model Techniques

This article describes how a commercial search platform iteratively upgrades its system by structuring business knowledge into a knowledge graph, applying multi‑stage entity extraction (CRF, Electra‑CRF, GLM‑3, OCR), and leveraging large language models to improve relevance, user experience, and revenue.

AIKnowledge GraphNLP

0 likes · 14 min read

Enhancing Commercial Search with Knowledge Graphs and Large‑Model Techniques

AntTech

Sep 12, 2024 · Artificial Intelligence

Knowledge‑Enhanced Large Model Service Framework (KAG): Integrating Knowledge Graphs with LLMs for Vertical Domain Applications

The KAG framework combines knowledge‑graph‑driven symbolic reasoning with large language model generation to improve accuracy, reduce hallucinations, and enable controllable, domain‑specific AI services such as government and medical Q&A, with open‑source support via OpenSPG and TuGraph‑DB.

AIFrameworkKnowledge Graph

0 likes · 13 min read

Knowledge‑Enhanced Large Model Service Framework (KAG): Integrating Knowledge Graphs with LLMs for Vertical Domain Applications

AntTech

Sep 11, 2024 · Artificial Intelligence

2024 Inclusion·Bund Conference Forum: Exploring the Creative Boundaries and Application Imagination of Large Models

The 2024 Inclusion·Bund Conference hosted a forum on "Large Model Creativity Boundaries and Application Imagination," featuring leading AI experts who discussed agents, multimodal technology, knowledge graphs, announced a new industry alliance, unveiled three major model products, and presented a trustworthy AI framework report for finance, healthcare, and government sectors.

AIFinancial AIKnowledge Graph

0 likes · 6 min read

2024 Inclusion·Bund Conference Forum: Exploring the Creative Boundaries and Application Imagination of Large Models

DataFunSummit

Sep 6, 2024 · Artificial Intelligence

Knowledge Graph and RAG Applications in 360 Document Cloud: Challenges and Solutions

This article presents a comprehensive overview of 360's document cloud knowledge management and Q&A scenarios, discussing business pain points, large‑model challenges, the advantages of the intelligent document solution, and how knowledge graphs enhance retrieval‑augmented generation and document standardization for AI‑driven enterprise applications.

AIDocument ManagementEnterprise AI

0 likes · 15 min read

Knowledge Graph and RAG Applications in 360 Document Cloud: Challenges and Solutions

DataFunSummit

Jul 16, 2024 · Artificial Intelligence

Knowledge Graph Construction, Reasoning, and QA for Intelligent Hypertension Diagnosis

This article presents a comprehensive exploration of knowledge‑graph‑based modeling, neural‑symbolic multi‑hop reasoning, and large‑model‑driven question answering applied to precise medication decision‑making in hypertension, detailing system architecture, experimental evaluations, real‑world deployments, and future research directions.

Knowledge Graphhypertensionlarge language model

0 likes · 26 min read

Knowledge Graph Construction, Reasoning, and QA for Intelligent Hypertension Diagnosis

DataFunTalk

Jun 23, 2024 · Artificial Intelligence

OpenKG Seminar – Knowledge Graphs + Large Language Models Empowering General AI (Session 3)

On June 25, 2024, OpenKG hosted a hybrid academic salon at Alibaba Cloud Valley, featuring expert talks on knowledge graphs, large language models, and their joint impact on AI, with presentations from leading researchers and industry professionals across multiple sessions.

AIKnowledge GraphOpenKG

0 likes · 9 min read

OpenKG Seminar – Knowledge Graphs + Large Language Models Empowering General AI (Session 3)

AntTech

Jun 21, 2024 · Artificial Intelligence

Ant Group’s Security Parallel Aspect Fusion AI: A Case Study Selected at the 2024 World Intelligent Industry Expo

The article details Ant Group’s security parallel aspect fusion AI solution, selected as an exemplary case at the 2024 World Intelligent Industry Expo, explaining its multi‑dimensional data collection, large‑model integration, baseline construction, knowledge‑graph generation, and superior threat‑detection performance.

AIAnt GroupCase Study

0 likes · 4 min read

Ant Group’s Security Parallel Aspect Fusion AI: A Case Study Selected at the 2024 World Intelligent Industry Expo

JD Tech

Jun 19, 2024 · Artificial Intelligence

Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs

This article surveys the rapid expansion of large AI models, covering prompt engineering, structured prompts, retrieval‑augmented generation, AI agents, fine‑tuning strategies, vector database technology, knowledge graphs, function calling, and their collective role in moving toward artificial general intelligence.

AIAgentFine‑tuning

0 likes · 23 min read

Advances in Large AI Models: Prompt Engineering, RAG, Agents, Fine‑Tuning, Vector Databases and Knowledge Graphs

DataFunSummit

Jun 18, 2024 · Artificial Intelligence

Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models

This article presents a comprehensive overview of conditional and multimodal knowledge graphs, covering their background, construction pipelines, extraction techniques, dataset creation, semi‑supervised learning strategies, and how they can be fused with large language models for enhanced reasoning and application in tasks such as intelligent QA and video scene graph generation.

AIInformation ExtractionKnowledge Graph

0 likes · 23 min read

Conditional and Multimodal Knowledge Graph Construction, Extraction, and Integration with Large Models

NewBeeNLP

Jun 18, 2024 · Artificial Intelligence

How Shopee Builds an E‑Commerce Knowledge Graph and Leverages Large Models

This article presents Shopee's comprehensive approach to constructing an e‑commerce knowledge graph, detailing the challenges of heterogeneous data, multi‑language handling, entity disambiguation, and the integration of deep learning and large language models to improve product matching, recommendation, and operational efficiency.

AIKnowledge Graphentity disambiguation

0 likes · 22 min read

How Shopee Builds an E‑Commerce Knowledge Graph and Leverages Large Models

DataFunTalk

Jun 15, 2024 · Artificial Intelligence

Research on Domain Large Models by Fudan University Knowledge Factory Lab

This article presents Fudan University's Knowledge Factory Lab research on domain large models, covering background, challenges, data selection, source‑enhanced tagging, capability improvements, self‑correction, collaborative workflows, and retrieval‑augmented generation for practical AI deployment.

AI researchKnowledge Graphdomain adaptation

0 likes · 16 min read

Research on Domain Large Models by Fudan University Knowledge Factory Lab

DataFunTalk

Jun 14, 2024 · Artificial Intelligence

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

This article presents Shopee's comprehensive exploration of building an e‑commerce knowledge graph, detailing its challenges, construction pipeline, AI‑driven extraction and fusion techniques, multilingual and multimodal modeling, and practical applications ranging from search and recommendation to AI assistants and real‑time updates.

AI applicationsInformation ExtractionKnowledge Graph

0 likes · 21 min read

Shopee's E‑commerce Knowledge Graph Construction and Integration with Large Models

DataFunTalk

Jun 11, 2024 · Artificial Intelligence

Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking

This article explores the concept of intelligent risk control in banking, detailing its AI‑driven architecture, current challenges such as external data costs and model‑deployment friction, and proposes an integrated operational framework that leverages big data, knowledge graphs, and MLOps to enhance risk detection and decision‑making.

BankingKnowledge GraphMLOps

0 likes · 14 min read

Intelligent Risk Control: Concepts, Challenges, and Integrated Operational Architecture for Banking

DataFunTalk

Jun 4, 2024 · Artificial Intelligence

Building an Integrated Intelligent Risk Control System for Banking

The article explores the concept, challenges, and future directions of intelligent banking risk control, emphasizing data integration, AI-driven modeling, feature engineering, MLOps, knowledge graphs, and large‑model applications to create a unified, automated risk management platform.

AIBankingKnowledge Graph

0 likes · 10 min read

Building an Integrated Intelligent Risk Control System for Banking

DataFunTalk

May 31, 2024 · Artificial Intelligence

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

This article explains why knowledge graphs are crucial for industrial applications, describes the main product forms and architectural considerations, and shares real‑world case studies illustrating how AI, large models, and graph databases can be combined to improve knowledge management and decision‑making.

AIIndustrial ApplicationsKnowledge Graph

0 likes · 20 min read

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

DataFunSummit

Apr 16, 2024 · Artificial Intelligence

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

This article explains intelligent risk control as a synergy of expert experience and algorithmic decision‑making, outlines its definition, expert human systems, digital algorithmic systems, and explores advanced AI methods such as reinforcement learning, large language models with knowledge graphs, adversarial learning, graph neural networks, and a practical supply‑chain case study.

Graph Neural NetworkKnowledge Graphadversarial learning

0 likes · 11 min read

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

DataFunSummit

Apr 13, 2024 · Artificial Intelligence

Understanding and Mitigating Hallucinations in Large Language Model Industry Q&A with Knowledge Graphs

This article examines why large language models often produce hallucinations in industry question‑answering, defines the phenomenon, explores its data and training origins, proposes evaluation metrics, and presents practical strategies—including high‑quality fine‑tuning data, honest refusal mechanisms, advanced decoding methods, and external knowledge‑graph augmentation—to reduce hallucinations and improve reliability.

AI EvaluationKnowledge Graphhallucination

0 likes · 21 min read

Understanding and Mitigating Hallucinations in Large Language Model Industry Q&A with Knowledge Graphs

DataFunTalk

Apr 1, 2024 · Artificial Intelligence

Large Model Applications in the Financial Sector: Practices, Knowledge Graphs, Ethics, and Ecosystem

This article presents a comprehensive overview of how large AI models are being applied in finance, covering development trends, practical use cases, knowledge‑graph integration, safety mechanisms, ethical considerations, and the evolving ecosystem of model‑centric solutions.

AI applicationsKnowledge Graphfinance AI

0 likes · 24 min read

Large Model Applications in the Financial Sector: Practices, Knowledge Graphs, Ethics, and Ecosystem

DataFunSummit

Mar 13, 2024 · Big Data

GraphAr: An Open Standard Graph Storage File Format

GraphAr is an open, standardized file format for storing large-scale graph and knowledge‑graph data, designed to address the challenges of graph computing ecosystems, offering superior performance and interoperability compared to existing formats, with growing community support and promising applications in data lakes and analytics.

GraphArKnowledge Graphgraph storage

0 likes · 2 min read

GraphAr: An Open Standard Graph Storage File Format

DataFunSummit

Mar 11, 2024 · Artificial Intelligence

The Synergy of Large Language Models and Knowledge Graphs: Current Status and Future Directions

This article examines how large language models enhance human‑machine interaction and can be combined with knowledge graphs to improve factual Q&A, task‑oriented services, and structured decision‑making, while highlighting ongoing challenges and the enduring role of knowledge graphs in structured domains.

AIKnowledge Graphdialogue system

0 likes · 4 min read

The Synergy of Large Language Models and Knowledge Graphs: Current Status and Future Directions

DataFunTalk

Mar 11, 2024 · Artificial Intelligence

Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models

The article examines the high construction cost and lack of unified standards in knowledge graphs, explains why large language models cannot fully solve core issues such as hallucination and multi‑hop reasoning, and argues that a new, unified semantic framework integrating large models is essential for future progress.

AIKnowledge GraphLarge Model

0 likes · 5 min read

Challenges and Future Directions for Knowledge Graph Construction in the Era of Large Models

DataFunTalk

Mar 7, 2024 · Artificial Intelligence

Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions

Large language models enhance human‑machine interaction and natural language understanding, but knowledge graphs remain essential for structured, low‑cost decision making, factual retrieval, and domains like finance; combining both can improve conversational systems, while ongoing challenges in knowledge graph construction persist, as highlighted for the upcoming DataFunSummit2024.

Conversational AIKnowledge GraphStructured Data

0 likes · 5 min read

Integrating Large Language Models with Knowledge Graphs: Current Status and Future Directions

DataFunTalk

Mar 6, 2024 · Artificial Intelligence

Construction and Practical Application of a User Profile Tagging System

This article details the design, integration, and operational practices of a comprehensive user and item profiling tag system, covering tag taxonomy, construction methods, update cycles, access strategies, algorithmic implementations, and real‑world applications such as marketing, attribution analysis, and A/B testing.

AB testingKnowledge GraphTagging System

0 likes · 20 min read

NewBeeNLP

Feb 27, 2024 · Artificial Intelligence

Boosting E‑Commerce AIGC with Knowledge Graphs: From Multimodal Inputs to Controlled LLMs

The article details how JD.com leverages domain‑specific and generic knowledge graphs to enhance multimodal product information, improve controlled text generation, and boost LLM performance for e‑commerce copywriting, covering model architecture, copy‑only mechanisms, token‑type encoding, experimental results, and practical deployment scenarios.

AIGCKnowledge GraphLLM

0 likes · 23 min read

Boosting E‑Commerce AIGC with Knowledge Graphs: From Multimodal Inputs to Controlled LLMs

DataFunSummit

Feb 21, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

This article presents a comprehensive overview of how knowledge graphs are integrated into e‑commerce AIGC pipelines, covering domain‑specific and generic KG‑driven text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language models in commercial settings.

AIAIGCKnowledge Graph

0 likes · 23 min read

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

DataFunTalk

Feb 10, 2024 · Artificial Intelligence

Mitigating Hallucinations in Large Language Model Applications with Knowledge Graphs

This article examines the challenges of using large language models for industry Q&A, defines hallucination phenomena, evaluates their causes and impact, and proposes a set of strategies—including high‑quality fine‑tuning data, honest alignment, advanced decoding, and external knowledge‑graph augmentation—to reduce hallucinations and improve answer reliability.

Knowledge GraphModel Evaluationhallucination

0 likes · 21 min read

Mitigating Hallucinations in Large Language Model Applications with Knowledge Graphs

DataFunSummit

Feb 5, 2024 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

Ant Group shares its comprehensive knowledge graph initiatives, detailing the fundamentals, construction pipeline, fusion techniques, cognitive representations, diverse business applications, and the emerging synergy between knowledge graphs and large language models, illustrating how graph-based AI enhances accuracy, interpretability, and downstream services.

Data IntegrationGraph FusionKnowledge Graph

0 likes · 14 min read

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

DataFunTalk

Jan 16, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

This article presents a comprehensive overview of how knowledge graphs are leveraged in e‑commerce AIGC pipelines, detailing domain‑specific and general graph‑based text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language model integration.

AIGCKnowledge GraphText Generation

0 likes · 22 min read

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

DataFunTalk

Nov 2, 2023 · Artificial Intelligence

Enhancing Language and Vision Models with External Knowledge and Tools: OREO‑LM, REVEAL, and AVIS

This article reviews recent research on augmenting language and multimodal models with external knowledge sources and tool‑calling mechanisms, covering three systems—OREO‑LM for knowledge‑graph reasoning, REVEAL for multi‑source visual‑language pretraining, and AVIS for dynamic tool selection—and their experimental results and implications.

Knowledge GraphLanguage ModelTool integration

0 likes · 28 min read

Enhancing Language and Vision Models with External Knowledge and Tools: OREO‑LM, REVEAL, and AVIS

DataFunTalk

Oct 25, 2023 · Artificial Intelligence

Applying Large Language Models to Wireless Network Intelligent Operations: Opportunities, Challenges, and Platform Construction

This article examines how large language model technology can be leveraged for intelligent operation of wireless communication networks, analyzing its advantages, current challenges, platform architecture, experimental validation, and future research directions within the telecom industry.

AIKnowledge Graphintelligent operation

0 likes · 17 min read

Applying Large Language Models to Wireless Network Intelligent Operations: Opportunities, Challenges, and Platform Construction

DataFunTalk

Oct 15, 2023 · Artificial Intelligence

Building an Event Knowledge Graph for Telecom Network Operations

This article describes how China Telecom's AI R&D Center designs and implements a network operations event knowledge graph using AI techniques, graph databases, and UIE models to improve fault handling, automate recommendations, and enhance intelligent assistance for telecom network maintenance.

AIKnowledge GraphNeo4j

0 likes · 16 min read

Building an Event Knowledge Graph for Telecom Network Operations

DataFunTalk

Sep 7, 2023 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

This article presents Ant Group's work on knowledge graphs, covering the fundamentals, construction pipeline, fusion techniques, cognitive modeling, real‑world applications, and the emerging synergy between knowledge graphs and large language models, while highlighting technical challenges and future directions.

AIAnt GroupApplications

0 likes · 13 min read

DataFunTalk

Aug 16, 2023 · Artificial Intelligence

Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development

This article presents a comprehensive overview of data engineering practices, pre‑training data composition, automated model evaluation techniques, and the synergistic use of knowledge graphs within large‑scale AI model research, highlighting pipelines, quality criteria, and practical case studies.

Knowledge Graphautomation evaluationdata engineering

0 likes · 29 min read

Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development

DataFunTalk

Aug 9, 2023 · Artificial Intelligence

CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang

The 17th China Conference on Knowledge Graph and Semantic Computing (CCKS 2023) will be held in Shenyang from August 24‑27, featuring the theme “Knowledge Graph Empowering General AI”, a full program of workshops, invited talks, special forums, industrial sessions, registration details, and links to the OpenKG initiative.

AICCKS2023Knowledge Graph

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CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang

Architects Research Society

Aug 2, 2023 · Fundamentals

Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations

The article explains data fabric architecture as a promising approach for enabling data exchange across distributed systems, outlines its three design patterns, describes key technical components such as data virtualization, data catalog, and knowledge graphs, and discusses the trade‑offs, costs, and limitations that organizations must consider.

Data CatalogData FabricData Integration

0 likes · 17 min read

Data Fabric Architecture: Three Patterns, Core Technical Components, and Inherent Limitations

DataFunSummit

Jul 31, 2023 · Artificial Intelligence

Knowledge Graph based Graph Neural Network Reasoning: From KG Background to GNN for KG and KG for GNN

This article introduces the fundamentals of knowledge graphs, explains how graph neural networks can be adapted for knowledge graph reasoning, presents specialized GNN designs such as CompGCN and RED‑GNN, and discusses experimental results, interpretability, efficiency improvements, and future research directions.

Graph Neural NetworkKG reasoningKnowledge Graph

0 likes · 11 min read

Knowledge Graph based Graph Neural Network Reasoning: From KG Background to GNN for KG and KG for GNN

DataFunTalk

Jul 28, 2023 · Artificial Intelligence

Insurance Anti‑Fraud Risk Control System: Architecture, Core Capabilities, and Case Studies

This article presents Taiping Jinke's end‑to‑end insurance anti‑fraud risk control framework, detailing industry pain points, core AI‑driven capabilities, platform blueprint, specific car and health insurance fraud engines, and real‑world case studies that illustrate how big‑data, machine‑learning and knowledge‑graph techniques are integrated into business processes.

Knowledge Graphfraud detectionmachine learning

0 likes · 16 min read

Insurance Anti‑Fraud Risk Control System: Architecture, Core Capabilities, and Case Studies

Data Thinking Notes

Jul 23, 2023 · Big Data

What Is Data Fabric? Understanding Data Weaving, Governance, and Future Trends

This article explains the concept of Data Fabric (data weaving), its background, definition, relationship with data middle platforms, data governance and DataOps, compares it with related concepts, and outlines future development directions and challenges.

Data FabricDataOpsKnowledge Graph

0 likes · 15 min read

What Is Data Fabric? Understanding Data Weaving, Governance, and Future Trends

Alibaba Cloud Big Data AI Platform

Jul 11, 2023 · Artificial Intelligence

How FashionKLIP Boosts E‑Commerce Image‑Text Retrieval with a Multimodal Knowledge Graph

The ACL 2023 paper introduces FashionKLIP, an e‑commerce visual‑language model enhanced by a multimodal concept knowledge graph, detailing its automated knowledge graph construction, dual‑stream training strategy, and superior performance on FashionGen retrieval benchmarks compared to state‑of‑the‑art methods.

FashionKLIPKnowledge GraphMultimodal Retrieval

0 likes · 10 min read

How FashionKLIP Boosts E‑Commerce Image‑Text Retrieval with a Multimodal Knowledge Graph

Alibaba Cloud Big Data AI Platform

Jul 10, 2023 · Artificial Intelligence

Alibaba’s PAI Platform Powers Three Groundbreaking ACL 2023 AI Papers

Three papers from Alibaba Cloud's PAI platform were selected for ACL 2023, showcasing FashionKLIP for e‑commerce image‑text retrieval, ConaCLIP's lightweight dual‑encoder distillation, and a fast domain‑specific diffusion model, all of which will be open‑sourced for the AI community.

ACL 2023Knowledge GraphMultimodal AI

0 likes · 8 min read

Alibaba’s PAI Platform Powers Three Groundbreaking ACL 2023 AI Papers

DataFunTalk

Jul 8, 2023 · Big Data

Key Technologies and Applications of Semantic Knowledge Management in Ant Financial Knowledge Graph Platform

This article presents Ant Group's large‑scale financial knowledge graph platform, detailing its semantic knowledge representation, hybrid graph model, distributed management architecture, core capabilities such as knowledge evolution and cross‑domain fusion, and showcases applications like anti‑fraud capital‑flow analysis and future DataFabric‑oriented knowledge sharing.

Distributed inferenceKnowledge Graphgraph database

0 likes · 18 min read

Key Technologies and Applications of Semantic Knowledge Management in Ant Financial Knowledge Graph Platform

DataFunTalk

Jul 5, 2023 · Artificial Intelligence

Data Intelligence as a Catalyst for Digital Transformation – Highlights from Prof. Xiao Yanghua’s Shanghai Launch Speech

In a Shanghai launch event for Altair RapidMiner, Prof. Xiao Yanghua explained why data is a strategic resource, outlined the challenges of data value realization, introduced the concept of data intelligence driven by both data‑driven and knowledge‑driven systems, and discussed emerging trends such as low‑code platforms, large‑model integration, and the shift of AI applications from consumer to industrial domains.

Data IntelligenceKnowledge Graphlow-code

0 likes · 18 min read

Data Intelligence as a Catalyst for Digital Transformation – Highlights from Prof. Xiao Yanghua’s Shanghai Launch Speech

DataFunSummit

Jun 28, 2023 · Artificial Intelligence

OPPO's CHAOS Pretrained Large Model and GammaE Knowledge‑Graph Multi‑hop Reasoning: Techniques and Insights

This article presents OPPO Research Institute's recent advances in large‑model AI, detailing the CHAOS pretrained model that topped the CLUE leaderboard, the knowledge‑enhanced training pipeline, and the GammaE model for multi‑hop reasoning over knowledge graphs, together with experimental results and practical training tips.

AI researchGammaEKnowledge Graph

0 likes · 20 min read

OPPO's CHAOS Pretrained Large Model and GammaE Knowledge‑Graph Multi‑hop Reasoning: Techniques and Insights

DataFunTalk

Jun 28, 2023 · Artificial Intelligence

Building and Applying a Multi‑Language Product Knowledge Graph at Shopee

This presentation details Shopee's approach to constructing a multilingual product knowledge graph, covering ontology modeling, data acquisition, fusion techniques, and practical applications, while discussing challenges, model architectures, and future directions for large‑scale e‑commerce AI systems.

Knowledge Graphe‑commercemachine learning

0 likes · 20 min read

Building and Applying a Multi‑Language Product Knowledge Graph at Shopee

DataFunSummit

Jun 20, 2023 · Artificial Intelligence

Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies

This article presents a comprehensive overview of applying causal inference to Alibaba’s Business Intelligence platform, detailing fundamental concepts, the merchant intelligent diagnosis system architecture, key technologies such as hybrid causal network discovery (HCM) and deep attribution, and showcases the resulting operational impact.

AIAlibabaKnowledge Graph

0 likes · 14 min read

Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies

DataFunSummit

Jun 9, 2023 · Artificial Intelligence

Construction and Application of a Power Industry Knowledge Graph

This article describes how a power‑industry knowledge graph is built using AI, big‑data and cloud techniques, outlines its multi‑dimensional structure, and demonstrates various application scenarios such as personal achievement aggregation, professional learning, job training, generic knowledge services, and decision support for power production.

Big DataKnowledge Graphknowledge management

0 likes · 10 min read

Construction and Application of a Power Industry Knowledge Graph

Alibaba Cloud Developer

Jun 9, 2023 · Artificial Intelligence

Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling

This guide presents a comprehensive methodology for building knowledge graph schemas that decouple structural representation from semantic meaning, covering schema design, attribute semantic standardization, concept modeling, multi‑relational and hypergraph techniques, and practical steps for implementation across complex business domains.

AIKnowledge GraphSemantic Modeling

0 likes · 54 min read

Designing Scalable Knowledge Graph Schemas: From Structure to Semantic Modeling

WeChat Backend Team

Jun 7, 2023 · Artificial Intelligence

How TransE+ Boosts Knowledge Graph Embedding on WeChat’s Plato Framework

This article presents the development and deployment of the TransE+ knowledge‑graph embedding model on the Plato graph‑computing platform, detailing its architectural upgrades, training optimizations, performance gains, and business‑oriented adaptations for large‑scale real‑world applications.

AIEmbeddingKnowledge Graph

0 likes · 22 min read

How TransE+ Boosts Knowledge Graph Embedding on WeChat’s Plato Framework

DataFunSummit

Jun 2, 2023 · Artificial Intelligence

Knowledge Graph–Based Root Cause Analysis for Intelligent Manufacturing

This article explains how knowledge‑graph technology combined with artificial‑intelligence methods can enhance intelligent manufacturing by improving quality and reliability through advanced root‑cause analysis, detailing development trends, analytical techniques, challenges, practical frameworks, and real‑world case studies.

Big DataKnowledge GraphRoot Cause Analysis

0 likes · 17 min read

Knowledge Graph–Based Root Cause Analysis for Intelligent Manufacturing

DataFunSummit

May 17, 2023 · Artificial Intelligence

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

This article reviews the development of event extraction, explains its importance for knowledge graphs, surveys four major algorithmic paradigms, introduces the OmniEvent open‑source toolkit with its unified benchmark and modular design, and outlines future research directions such as document‑level extraction and event relation modeling.

Event ExtractionInformation ExtractionKnowledge Graph

0 likes · 11 min read

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

DataFunTalk

May 16, 2023 · Artificial Intelligence

Multimodal Deep Neural Network for Predicting Drug‑Drug Interactions

The presentation introduces a multimodal deep neural network (MDNN) that integrates drug knowledge graphs and heterogeneous drug features to predict drug‑drug interactions, demonstrates state‑of‑the‑art performance on a large IJCAI‑2021 dataset, and discusses its architecture, evaluation, and future challenges.

Drug InteractionKnowledge Graphmultimodal neural network

0 likes · 12 min read

Multimodal Deep Neural Network for Predicting Drug‑Drug Interactions

360 Tech Engineering

Mar 23, 2023 · Artificial Intelligence

Integrating Knowledge Graphs with ChatGPT: Opportunities, Challenges, and Applications

The article examines ChatGPT's rapid adoption, the rise of generative AI, and how integrating external knowledge sources such as knowledge graphs can improve factual accuracy, enhance downstream tasks, and enable a variety of ChatGPT+ applications ranging from intelligent search to office automation tools.

AI applicationsChatGPTKnowledge Graph

0 likes · 9 min read

Integrating Knowledge Graphs with ChatGPT: Opportunities, Challenges, and Applications

Efficient Ops

Mar 20, 2023 · Artificial Intelligence

How AI‑Powered Digital Employees Transform IT Operations and Boost Efficiency

This article describes how the Industrial and Commercial Bank of China's software development center created the AI‑driven digital employee “Ruan Xiaoyan,” detailing its functions, user touchpoints, and practical applications such as intelligent customer service, smart workflow automation, and proactive reminders that enhance IT operations efficiency.

AIKnowledge GraphOperations Automation

0 likes · 11 min read

How AI‑Powered Digital Employees Transform IT Operations and Boost Efficiency

DataFunTalk

Mar 20, 2023 · Artificial Intelligence

Construction and Application of Meituan Hotel & Travel Knowledge Graph

This article details Meituan's hotel‑travel knowledge graph, describing its background, scene‑recognition challenges, multi‑layer graph architecture, technical modules for knowledge mining, relation discrimination and supply tagging, and its practical applications in search, recommendation, ranking, and risk control, while also outlining future directions and a Q&A session.

AIKnowledge GraphMeituan

0 likes · 15 min read

Construction and Application of Meituan Hotel & Travel Knowledge Graph

DataFunSummit

Mar 11, 2023 · Databases

Graph Database Storage and Knowledge Graph Practices – Forum Overview

The forum explores the rapid growth and complexity of knowledge graphs, addressing storage and computation challenges through expert talks on graph database storage, query languages, practical implementation, and large‑scale financial knowledge graph platforms, offering attendees deep technical insights and hands‑on guidance.

Big DataKnowledge Graphdata storage

0 likes · 8 min read

Graph Database Storage and Knowledge Graph Practices – Forum Overview

DataFunSummit

Mar 4, 2023 · Artificial Intelligence

Graph Neural Network-Based Knowledge Graph Reasoning – Talk by Zhang Yongqi at DataFun Summit 2023

On March 18, 2023, Dr. Zhang Yongqi will deliver an online talk at DataFun Summit 2023 about knowledge‑graph reasoning using graph neural networks, covering recent advances, applications, challenges, and offering free registration for participants interested in AI and knowledge‑graph technologies.

AIDataFunGraph Neural Network

0 likes · 4 min read

DataFunSummit

Feb 16, 2023 · Artificial Intelligence

Curated Collection of Articles on AI‑Powered Smart Medicine

This guide introduces the challenges in healthcare, explains how artificial intelligence is already reshaping the field, and provides a curated list of recent articles on smart medicine for readers to explore the emerging AI‑healthcare integration.

AIBig DataHealthcare

0 likes · 4 min read

Curated Collection of Articles on AI‑Powered Smart Medicine

HomeTech

Dec 9, 2022 · Artificial Intelligence

Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation

In this interview, Li Benyang, head of the intelligent recommendation content understanding team at Autohome, shares his AI background, the evolution of recommendation systems, knowledge‑graph construction for automotive content, career choices between big firms and startups, and practical advice for technologists navigating fast‑changing industries.

AIKnowledge GraphRecommendation Systems

0 likes · 12 min read

Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation

DataFunTalk

Nov 26, 2022 · Artificial Intelligence

Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment

The article explains how combining human expertise with AI techniques—through problem decomposition, model selection, feature engineering, and knowledge‑graph construction—enables practical NLP solutions for document extraction and intelligent Q&A, illustrating the process with contract‑field extraction case studies.

AIDocument ExtractionHuman-in-the-Loop

0 likes · 14 min read

Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment

DataFunTalk

Nov 4, 2022 · Artificial Intelligence

Explainable Knowledge Graph Reasoning: Background, Advances, Motivation, Recent Research, and Outlook

This article reviews explainable knowledge graph reasoning, covering its background, core concepts, downstream applications, major reasoning methods, motivations for interpretability, recent advances such as hierarchical and Bayesian reinforcement learning, meta‑path mining, and future research directions.

Knowledge Graphexplainable AIgraph reasoning

0 likes · 18 min read

Explainable Knowledge Graph Reasoning: Background, Advances, Motivation, Recent Research, and Outlook

DataFunTalk

Sep 30, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search

This presentation details how Meituan leverages knowledge‑graph technology to model hotel and travel business characteristics, perform scene cognition, build a multi‑layer knowledge graph, and design a five‑stage search architecture that combines precise and generic queries with AI‑driven ranking and explainable recommendation techniques.

AIKnowledge GraphMeituan

0 likes · 21 min read

Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search

DataFunTalk

Sep 26, 2022 · Artificial Intelligence

Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies

This article presents a comprehensive overview of intelligent entity recommendation for search, covering scenario introduction, relevance modeling, handling sparse query and entity data with graph‑based methods, and multi‑domain, multi‑scenario ranking techniques to improve user experience.

Knowledge GraphMulti-domainSearch

0 likes · 15 min read

Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies

DataFunTalk

Sep 25, 2022 · Artificial Intelligence

Personalized News Recommendation System Based on Knowledge Graphs

This talk presents a personalized news recommendation system that leverages knowledge graphs to enhance recommendation accuracy, explainability, and user interest modeling, detailing background, graph construction methods, multi‑task deep learning architecture, experimental results, and future research directions.

Deep LearningGraph ConstructionKnowledge Graph

0 likes · 22 min read

Personalized News Recommendation System Based on Knowledge Graphs

Zuoyebang Tech Team

Sep 23, 2022 · Artificial Intelligence

How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert

In this interview, the chief algorithm expert at Zuoyebang discusses how AI technologies such as NLP, speech recognition, large‑model pre‑training, and knowledge‑graph construction are applied to K‑12 education, covering practical challenges, deployment strategies, and future research directions.

AIEducation TechnologyKnowledge Graph

0 likes · 27 min read

How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert

DataFunTalk

Sep 21, 2022 · Artificial Intelligence

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

This presentation details the XiaoAi intelligent assistant’s QA system, covering its application scenarios, information extraction techniques (including relation and event extraction with SPO/PSO models), graph‑based question answering methods, cross‑domain slot extraction, path retrieval, and practical Q&A insights.

AIGraph QAKnowledge Graph

0 likes · 18 min read

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

DataFunTalk

Sep 18, 2022 · Artificial Intelligence

Applying Graph Machine Learning in Ant Group's Recommendation System

This article presents how Ant Group leverages graph machine learning, including knowledge graph, social network, and cross-domain techniques, to enhance recommendation for low-activity users across scenarios such as fund, coupon, and waistband recommendations, detailing model architecture, challenges, solutions, and experimental results.

GNNKnowledge Graphgraph learning

0 likes · 13 min read

Applying Graph Machine Learning in Ant Group's Recommendation System

DataFunTalk

Sep 13, 2022 · Artificial Intelligence

Intelligent Question Answering in QQ Browser Search: Background, Key Technologies, and Frontier Research

This article presents an in‑depth overview of intelligent question answering in QQ Browser search, covering its background, the core KBQA and DeepQA technologies, system architecture, challenges, recent advances such as end‑to‑end, knowledge‑guided and multimodal QA, and practical Q&A for deployment.

AIDeep LearningKnowledge Graph

0 likes · 22 min read

Intelligent Question Answering in QQ Browser Search: Background, Key Technologies, and Frontier Research

Snowball Engineer Team

Sep 1, 2022 · Databases

Snowball Knowledge Graph Construction, Applications, and Industrial Deployment

The article details Snowball's large‑scale financial knowledge graph, covering its background challenges, two‑layer ontology and data design, data sourcing and pipeline, graph database selection, search and NLP services, domain‑specific pre‑training models, and future industrial considerations.

Knowledge GraphNLPSearch

0 likes · 18 min read

Snowball Knowledge Graph Construction, Applications, and Industrial Deployment