Tagged articles

knowledge graph

589 articles · Page 4 of 6

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

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

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.

AIconditional KGinformation extraction

0 likes · 23 min read

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

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.

AIMultimodale-commerce

0 likes · 22 min read

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

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 researchDomain AdaptationSelf-Correction

0 likes · 16 min read

Research on Domain Large Models by Fudan University Knowledge Factory Lab

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 applicationsMultimodale-commerce

0 likes · 21 min read

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

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.

Artificial IntelligenceMLOpsbanking

0 likes · 14 min read

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

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.

AIMLOpsbanking

0 likes · 10 min read

Building an Integrated Intelligent Risk Control System for Banking

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 Applicationsgraph database

0 likes · 20 min read

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

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 Networkadversarial learningknowledge graph

0 likes · 11 min read

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

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 evaluationhallucinationknowledge graph

0 likes · 21 min read

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

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 applicationsfinance AIknowledge graph

0 likes · 24 min read

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

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.

GraphArgraph storageknowledge graph

0 likes · 2 min read

GraphAr: An Open Standard Graph Storage File Format

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.

AIdialogue systemknowledge graph

0 likes · 4 min read

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

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.

AIgraph databaseknowledge graph

0 likes · 5 min read

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

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 graphlarge language model

0 likes · 5 min read

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

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 TestingTagging Systemdata mining

0 likes · 20 min read

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.

AIGCLLMMultimodal

0 likes · 23 min read

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

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.

AIAIGCControlled Generation

0 likes · 23 min read

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

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.

hallucinationknowledge graphlarge language models

0 likes · 21 min read

Mitigating Hallucinations in Large Language Model Applications with Knowledge Graphs

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.

Artificial IntelligenceData IntegrationGraph Fusion

0 likes · 14 min read

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

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.

AIGCDomain Adaptatione-commerce

0 likes · 22 min read

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

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.

Multimodalknowledge graphlanguage model

0 likes · 28 min read

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

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.

AIintelligent operationknowledge graph

0 likes · 17 min read

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

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.

AINeo4jUIE model

0 likes · 16 min read

Building an Event Knowledge Graph for Telecom Network Operations

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

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

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.

automation evaluationdata engineeringknowledge graph

0 likes · 29 min read

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

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.

AICCKS2023conference

0 likes · 9 min read

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 FabricData Integrationdata catalog

0 likes · 17 min read

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

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 reasoningRED-GNN

0 likes · 11 min read

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

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.

fraud detectionknowledge graphmachine 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.

FashionKLIPMultimodal Retrievale-commerce

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 2023diffusion modelsimage-text retrieval

0 likes · 8 min read

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

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 inferencegraph databaseknowledge graph

0 likes · 18 min read

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

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

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 researchGammaEPretraining

0 likes · 20 min read

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

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.

e-commerceknowledge graphmachine learning

0 likes · 20 min read

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

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.

AIAlibabaCausal Inference

0 likes · 14 min read

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

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.

Knowledge Managementbig dataknowledge graph

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.

AIData ModelingSemantic 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.

AITransE+embedding

0 likes · 22 min read

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

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 dataintelligent manufacturingknowledge graph

0 likes · 17 min read

Knowledge Graph–Based Root Cause Analysis for Intelligent Manufacturing

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 ExtractionNLPinformation extraction

0 likes · 11 min read

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

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 applicationsChatGPTLLM

0 likes · 9 min read

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

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.

AIRPAdigital employee

0 likes · 11 min read

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

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.

AIMeituanScene Understanding

0 likes · 15 min read

Construction and Application of Meituan Hotel & Travel Knowledge Graph

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.

Data Storagebig datagraph query

0 likes · 8 min read

Graph Database Storage and Knowledge Graph Practices – Forum Overview

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

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

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.

AINLPSmart Medicine

0 likes · 4 min read

Curated Collection of Articles on AI‑Powered Smart Medicine

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.

AIcareer adviceknowledge graph

0 likes · 12 min read

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

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 ExtractionNLP

0 likes · 14 min read

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

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.

Graph Reasoningexplainable AIhierarchical RL

0 likes · 18 min read

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

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.

AIMeituanScene Understanding

0 likes · 21 min read

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

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.

Graph Neural NetworksMulti-domainSparse Data

0 likes · 15 min read

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

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.

Graph Constructiondeep learningexplainability

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 TechnologyNLP

0 likes · 27 min read

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

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 QANLP

0 likes · 18 min read

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

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.

GNNgraph learningknowledge graph

0 likes · 13 min read

Applying Graph Machine Learning in Ant Group's Recommendation System

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.

AIMultimodaldeep learning

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.

NLPfinancial datagraph database

0 likes · 18 min read

Snowball Knowledge Graph Construction, Applications, and Industrial Deployment

Aug 24, 2022 · Databases

Building Intelligent Supply Chains with Graph Databases and Knowledge Graphs

This article explains how the data challenges of modern intelligent supply chains can be addressed by using graph databases and knowledge graphs, detailing supply chain background, graph database fundamentals, graph algorithms, and real‑world case studies that illustrate risk assessment and logistics optimization.

Graph AlgorithmsNeo4jSupply Chain

0 likes · 18 min read

Building Intelligent Supply Chains with Graph Databases and Knowledge Graphs

Aug 20, 2022 · Databases

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

This article introduces the fundamentals of knowledge graphs, explores their research dimensions—including knowledge engineering, NLP, databases, and machine learning—examines graph database storage models, discusses their relevance to AI and big data, and showcases the authors' own graph‑based projects and case studies.

AIKnowledge ExtractionRDF

0 likes · 14 min read

Unlocking Knowledge Graphs: From Basics to Real‑World Applications

Meituan Technology Team

Aug 18, 2022 · Artificial Intelligence

Highlights of Meituan’s KDD 2022 Papers

This article presents concise introductions and download links for seven Meituan research papers accepted at KDD 2022, covering knowledge‑graph pre‑training, automatic feature and architecture selection for pre‑ranking, user intent discovery, persuasion factor modeling, counterfactual policy learning for top‑K recommendation, probabilistic forecasting of food preparation time, and a multi‑stage bonus allocation framework for meal delivery.

KDD 2022Probabilistic Forecastingbonus allocation

0 likes · 15 min read

Highlights of Meituan’s KDD 2022 Papers

Aug 11, 2022 · Databases

Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data

This article introduces the basic concepts of knowledge graphs, explores their research dimensions across knowledge engineering, natural language processing, databases and machine learning, discusses graph database storage models and their integration with artificial intelligence and big data, and presents related projects and real‑world case studies.

RDFbig datagraph analytics

0 likes · 13 min read

Fundamentals of Knowledge Graphs, Graph Databases, and Their Applications in AI and Big Data

Jul 29, 2022 · Artificial Intelligence

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

This article reviews recent work on combining knowledge graphs with neural networks, covering generative self‑supervised graph neural network pre‑training, differentiable logical reasoning over graphs, and a fuzzy‑logic based query‑embedding model that improves open‑domain question answering, especially for rare relations.

Graph Neural NetworkOpen Domain QAdifferentiable reasoning

0 likes · 22 min read

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

Jul 27, 2022 · Artificial Intelligence

The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details

The 16th National Knowledge Graph and Semantic Computing Conference (CCKS 2022) organized by the Chinese Society of Chinese Information and hosted by Yanshan University runs from August 24‑27, 2022 in Qinhuangdao, featuring a theme of knowledge graphs empowering the digital economy, multiple academic and industry tracks, poster and demo calls, and registration details.

AIForumPoster

0 likes · 5 min read

The 16th National Conference on Knowledge Graphs and Semantic Computing (CCKS 2022) – Overview and Details

Jul 26, 2022 · Artificial Intelligence

Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework

This talk presents recent advances in multi-step reasoning over large-scale, noisy knowledge graphs, introducing the Query2Box model that uses box embeddings for complex queries and the SMORE framework that enables efficient multi-hop inference on massive graphs through scalable query generation, embedding computation, and training pipelines.

AIQuery2BoxSMORE

0 likes · 14 min read

Multi-step Reasoning over Large-scale Knowledge Graphs: Query2Box and SMORE Framework

Jul 24, 2022 · Artificial Intelligence

Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

This report details the concept, systematic construction process, and diverse applications of a large‑scale Traditional Chinese Medicine (TCM) knowledge graph, illustrating how semantic standards, ontology engineering, and graph databases enable intelligent retrieval, recommendation, and clinical decision support across multiple TCM sub‑domains.

AITCMclinical decision support

0 likes · 15 min read

Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

Jul 13, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life Service Knowledge Graph

This article details Meituan's "Meituan Brain" initiative, describing the roadmap and techniques for building large-scale life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph neural networks, and their integration into search, recommendation, and question‑answering systems.

AIGraph Neural NetworkMeituan

0 likes · 14 min read

Construction and Application of Meituan's Life Service Knowledge Graph

Jul 13, 2022 · Databases

Technical Analysis and Case Studies of Knowledge Graphs by Neo4j

This presentation explains where knowledge resides in data architectures, demonstrates knowledge‑graph‑driven skill discovery, metadata management, and semantic search, and concludes with a comparison of GraphQL and Cypher for graph queries, illustrated with real‑world Neo4j case studies.

CypherGraphQLNeo4j

0 likes · 11 min read

Technical Analysis and Case Studies of Knowledge Graphs by Neo4j

Jul 10, 2022 · Artificial Intelligence

Intelligent Industry Analysis Tool Based on Knowledge Graphs and Industry Atoms

This article introduces VentureSights, an AI‑driven intelligent industry analysis platform built on knowledge‑graph technology and the concept of industry atoms, detailing its core modules, workflow, industry‑atom representation, extraction algorithms, and overall system architecture for generating comprehensive industry reports and insights.

Artificial IntelligenceNamed Entity Recognitiongraph embedding

0 likes · 12 min read

Intelligent Industry Analysis Tool Based on Knowledge Graphs and Industry Atoms

Jul 9, 2022 · Artificial Intelligence

Education Knowledge Graph: Opportunities and Challenges

The article provides a comprehensive overview of education knowledge graphs, explaining their definition, significance, diverse application scenarios such as smart textbooks, deep reading, subject insight, and intelligent services, while also analyzing technical challenges like data heterogeneity, granularity, multimodality, quality control, and proposing future research directions.

Artificial IntelligenceEducationIntelligent Tutoring

0 likes · 25 min read

Education Knowledge Graph: Opportunities and Challenges

Jul 9, 2022 · Artificial Intelligence

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples

This article presents several mature knowledge‑graph application cases, including Meituan’s large‑scale “Meituan Brain” for lifestyle services, the Sage Knowledge Base platform by Fourth Paradigm, and additional examples in recommendation, medical, QA, and power‑industry domains, highlighting methods, challenges, and model designs.

AIGraph Neural Networkknowledge graph

0 likes · 11 min read

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Examples

Jul 6, 2022 · Artificial Intelligence

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Scenarios

This article reviews several mature knowledge‑graph applications, describing Meituan’s large‑scale “Meituan Brain” for lifestyle services, the Fourth Paradigm’s Sage Knowledge Base platform with various representation‑learning models, and additional use cases in recommendation, QA, drug discovery, and power‑grid domains.

AI applicationsGraph Neural NetworkIndustry Case Study

0 likes · 11 min read

Knowledge Graph Application Cases: Meituan Brain, Sage Knowledge Base, and Other Industry Scenarios

Jul 1, 2022 · Artificial Intelligence

Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform

This article describes Ant Group's merchant knowledge graph, covering its background, overall architecture, data sources, schema design, processing pipeline, cross‑graph fusion techniques, cognitive applications such as vector‑based recall, and the upcoming open‑source and SDK initiatives aimed at sharing the knowledge and tools with the community.

AIGraph Algorithmsknowledge graph

0 likes · 20 min read

Building and Scaling Ant Group's Merchant Knowledge Graph: Architecture, Construction, Fusion, and Open Platform

Jun 30, 2022 · Artificial Intelligence

Building and Applying an Enterprise Relationship Knowledge Graph

This article presents a comprehensive case study on constructing an enterprise relationship knowledge graph for financial technology, detailing data preparation, ontology modeling, graph building, and three practical applications—path query, ultimate controller discovery, and group detection—demonstrating how AI-driven graph analytics can uncover hidden corporate connections.

AIEnterprise DataFinancial Technology

0 likes · 11 min read

Building and Applying an Enterprise Relationship Knowledge Graph

Jun 26, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com

58.com’s NLP senior engineer explains how a recruitment knowledge graph is built—through multi‑dimensional tag systems, tag mining, and relation extraction—and how it enhances bidirectional matching and recommendation efficiency, addressing challenges such as weak expression, cold start, and supply‑demand imbalance.

AIData AugmentationNLP

0 likes · 17 min read

Applying Knowledge Graphs to Recruitment: Construction, Tag Mining, and Recommendation at 58.com

Jun 21, 2022 · Artificial Intelligence

JiuGe: An Automatic Chinese Classical Poetry Generation System – Algorithms and Research Overview

This article presents the JiuGe system developed by THUNLP for automatically generating Chinese classical poetry, detailing its research motivations, model architecture—including salient‑clue, working‑memory, topic‑memory, style‑transfer and reinforcement‑learning components—implementation, applications, and future directions.

Artificial IntelligenceNatural Language ProcessingPoetry Generation

0 likes · 18 min read

JiuGe: An Automatic Chinese Classical Poetry Generation System – Algorithms and Research Overview

Jun 18, 2022 · Artificial Intelligence

Intelligent Question Answering in WeChat Search: Knowledge‑Graph QA and Document‑Based QA Techniques

This article introduces the intelligent question‑answering technology used in WeChat Search, covering background, knowledge‑graph‑based QA, document‑based QA, technical pipelines, key modules such as entity linking and relation recognition, and future research directions.

AIdocument retrievalknowledge graph

0 likes · 20 min read

Intelligent Question Answering in WeChat Search: Knowledge‑Graph QA and Document‑Based QA Techniques

Jun 17, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System

This talk explains how Meituan builds and leverages a massive lifestyle-domain knowledge graph to improve LBS recommendation, covering explicit and implicit graph applications, challenges such as explainability and data sparsity, and advanced models like dual‑memory networks and cross‑domain learning.

AIMeituancross-domain learning

0 likes · 15 min read

Applying Knowledge Graphs to Meituan's Recommendation System

Jun 17, 2022 · Artificial Intelligence

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

This article presents OPPO's large‑scale knowledge graph, detailing the algorithmic challenges and solutions for entity classification, alignment, information extraction, and query parsing, and explains how these techniques power the XiaoBu assistant's knowledge‑based QA, search, and recommendation services while outlining future research directions.

AIOPPOentity alignment

0 likes · 18 min read

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

Ctrip Technology

Jun 16, 2022 · Artificial Intelligence

Entity Linking System for Travel Knowledge Graph at Ctrip AI R&D

The article presents Ctrip's travel AI team's end‑to‑end entity linking solution built on a large‑scale tourism knowledge graph, detailing its background, technical architecture, core modules—including mention detection, candidate generation, and disambiguation using BERT and prefix‑tree techniques—and real‑world applications such as search, intelligent客服, and POI data maintenance.

BERTNLPentity linking

0 likes · 18 min read

Entity Linking System for Travel Knowledge Graph at Ctrip AI R&D

Jun 13, 2022 · Artificial Intelligence

JD Technology Financial Causal Knowledge Graph: Construction, Causal Extraction, and Alignment Techniques

This article presents JD Technology's recent research on financial causal knowledge graphs, detailing the overall knowledge‑graph architecture, data layers, causal relation extraction, argument extraction, and graph‑alignment methods, and discusses their applications in finance, intelligent research reports, and industry‑leader recommendation.

Graph AlignmentNLPSemantic Role Labeling

0 likes · 18 min read

JD Technology Financial Causal Knowledge Graph: Construction, Causal Extraction, and Alignment Techniques

Jun 11, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

This article reviews the emerging field of explainable recommendation, covering its motivation, historical evolution from template‑based to knowledge‑graph and generative‑language approaches, recent advances in graph‑structured and natural‑language explanations, key research works, industrial applications, and open challenges such as fact‑checking, low‑resource settings, and evaluation methods.

AIGraph ReasoningNatural Language Generation

0 likes · 16 min read

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

Jun 8, 2022 · Artificial Intelligence

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

This article reviews recent advances in combining knowledge graphs with neural networks, covering generative pre‑training of graph neural networks, wiki‑graph based open‑domain question answering, differentiable logical reasoning, and a fuzzy‑logic query‑embedding model that improves performance on sparse‑relation queries.

Artificial IntelligenceOpen Domain QAPretraining

0 likes · 23 min read

Integrating Knowledge Graphs with Neural Networks: Generative Pre‑Training, Differentiable Reasoning, and Fuzzy Logic Query Embedding

Jun 7, 2022 · Artificial Intelligence

Thematic Role Semantic Recognition and Fine-Grained Biomedical Knowledge Mining for Drug Repurposing

This presentation explores how deep semantic role labeling and multimodal data fusion of biomedical literature can build fine‑grained knowledge graphs that enable drug repurposing, describing the AGAC corpus, modeling approaches, evaluation results, and future research directions.

AIBiomedical NLPSemantic Role Labeling

0 likes · 13 min read

Thematic Role Semantic Recognition and Fine-Grained Biomedical Knowledge Mining for Drug Repurposing

Jun 3, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life‑Service Knowledge Graph

This article explains Meituan's 'Meituan Brain' initiative, detailing the construction of life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph labeling, and applications such as open QA, search ranking, and recommendation using AI and GNN techniques.

AIGraph Neural Networkknowledge graph

0 likes · 13 min read

Construction and Application of Meituan's Life‑Service Knowledge Graph

May 28, 2022 · Artificial Intelligence

Construction and Application of a Power Industry Knowledge Graph

This article outlines the development of a power‑sector knowledge graph by China Electric Power Research Institute, covering the AI institute overview, the background of power knowledge engineering, methods for representation and ontology construction, practical applications in dispatch, inspection and customer service, and future challenges.

Artificial Intelligencedomain ontologyknowledge graph

0 likes · 30 min read

Construction and Application of a Power Industry Knowledge Graph

Architects Research Society

May 24, 2022 · Big Data

Understanding Data Fabric: Key Pillars for Data & Analytics Leaders

The article explains the emerging concept of Data Fabric (data weaving), its design principles, how it integrates metadata, knowledge graphs, and AI/ML to automate data integration across hybrid and multi‑cloud environments, and outlines four essential pillars that leaders must master to deliver business value.

AI/MLData Fabricknowledge graph

0 likes · 8 min read

Understanding Data Fabric: Key Pillars for Data & Analytics Leaders

May 18, 2022 · Artificial Intelligence

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

This talk introduces automated knowledge graph representation learning, covering background, key techniques such as triple‑based, path‑based and subgraph‑based models, AutoML‑driven model search (AutoSF, Interstellar, RED‑GNN), evaluation metrics, and future research directions in AI.

AutoMLGraph Neural Networksembedding

0 likes · 21 min read

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

May 16, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions

This article presents Meituan's large‑scale knowledge graph, its integration into location‑based recommendation, the challenges of explainability, domain diversity, data sparsity and spatiotemporal complexity, and describes a dual‑memory neural network and cross‑domain learning approach that improve recall, ranking and recommendation fairness.

AIcross-domain learningexplainability

0 likes · 15 min read

Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions

May 12, 2022 · Artificial Intelligence

Construction and Application of Power Industry Knowledge Graphs

This article introduces the AI Institute of China Electric Power Research Institute, outlines the background, core concepts, and development of power sector knowledge engineering, details knowledge representation, ontology construction, and graph building methods, and discusses practical applications and future challenges of power domain knowledge graphs.

Artificial IntelligenceSemantic Webdomain ontology

0 likes · 29 min read

Construction and Application of Power Industry Knowledge Graphs

May 9, 2022 · Artificial Intelligence

TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework

The article introduces TextToKnowledge, an open‑source Baidu platform that provides a unified Chinese term taxonomy (TermTree) and two annotation tools (WordTag and NPTag) to enable zero‑sample text labeling, term‑linking, and downstream knowledge‑mining applications for various NLP tasks.

Chinese NLPPaddleNLPTermTree

0 likes · 25 min read

TextToKnowledge (解语): Zero‑Shot Chinese Text Knowledge Annotation and Mining Framework

May 8, 2022 · Artificial Intelligence

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

This talk introduces the background, key directions, and model designs for automated knowledge‑graph representation learning, covering triple‑based, path‑based, and subgraph‑based approaches, the role of AutoML in searching optimal bilinear scoring functions, and future research challenges such as scalability, inductive inference, and domain‑specific applications.

AutoMLembeddingknowledge graph

0 likes · 20 min read

Automated Knowledge Graph Representation Learning: From Triples to Subgraphs

May 2, 2022 · Artificial Intelligence

RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning

This article reviews recent advances in knowledge graph reasoning, introduces the RNNLogic framework that jointly learns a rule‑generating LSTM and a stochastic logic programming predictor, and demonstrates its competitive performance and interpretability on benchmark datasets while outlining future neural‑symbolic directions.

AIRNNLogicknowledge graph

0 likes · 10 min read

RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning

Apr 29, 2022 · Artificial Intelligence

Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph

This talk presents Meituan Brain's massive product knowledge graph, explains how knowledge‑enhanced models improve product title parsing, category association and sample governance, and demonstrates the resulting gains in search, recommendation and other downstream services while keeping the system online‑controllable and explainable.

AIMeituanentity recognition

0 likes · 22 min read

Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph

Apr 18, 2022 · Artificial Intelligence

Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)

The 2022 CCKS conference invites submissions of open‑resource papers on knowledge graphs and semantic computing, offering details on submission deadlines, required paper length, evaluation criteria, example resources, chairs, important dates, and links to templates and the EasyChair submission portal.

AIOpen Resourcescall for papers

0 likes · 6 min read

Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)

Meituan Technology Team

Apr 14, 2022 · Frontend Development

Knowledge Graph Visualization Practices and Solutions at Meituan

This article details Meituan's end‑to‑end practice of knowledge‑graph visualization, covering basic concepts, scenario analysis, D3.js‑based architecture, layout optimization, visual‑noise reduction, rich interaction features, 3D extensions, real‑world deployments and future research directions.

3D force graphD3.jsInteractive UI

0 likes · 25 min read

Knowledge Graph Visualization Practices and Solutions at Meituan