node2vec | BestHub

Tencent Cloud Developer

May 29, 2024 · Artificial Intelligence

Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games

Tencent’s Game Social Algorithm Team presents a Spark‑based distributed network embedding framework that recursively partitions hundred‑billion‑edge game graphs into manageable subgraphs, runs node2vec locally, and fuses results, enabling efficient link prediction and node classification across multiple games within hours.

Big DataSparkdistributed computing

0 likes · 7 min read

Distributed Network Embedding Algorithm for Billion‑Scale Graph Data in Tencent Games

JD Tech

Sep 12, 2023 · Fundamentals

Community Detection Algorithms: Concepts, Types, and Classic Methods

This article introduces community detection as a fundamental graph algorithm, explains its basic concepts and types, compares it with clustering, discusses evaluation metrics like modularity, and reviews classic methods such as Louvain, node2vec‑based approaches, and the information‑theoretic Infomap algorithm.

InfomapLouvaincommunity-detection

0 likes · 13 min read

Community Detection Algorithms: Concepts, Types, and Classic Methods

Tongcheng Travel Technology Center

May 9, 2023 · Artificial Intelligence

Enhanced Graph Embedding with Side Information (EGES) for User Growth and Cold‑Start Mitigation

This article presents EGES, a graph‑embedding model that incorporates side information to construct a directed user graph, apply biased random‑walk sampling, and train weighted Skip‑Gram embeddings, thereby improving large‑scale user acquisition and addressing cold‑start challenges in recommendation systems.

Cold StartEGESgraph embedding

0 likes · 9 min read

Enhanced Graph Embedding with Side Information (EGES) for User Growth and Cold‑Start Mitigation

Zhuanzhuan Tech

Sep 14, 2022 · Artificial Intelligence

Graph Embedding Algorithms and Their Application in Zhuanzhuan Recommendation System

This article introduces the fundamentals of recommendation systems, explains Zhuanzhuan's main recommendation scenarios and pipeline, and details three graph embedding methods—DeepWalk, node2vec, and EGES—along with their practical implementations in recall and coarse‑ranking stages.

DeepWalkEGESe-commerce

0 likes · 17 min read

Graph Embedding Algorithms and Their Application in Zhuanzhuan Recommendation System

Tencent Cloud Developer

Jun 9, 2021 · Artificial Intelligence

Overview of Common Graph Embedding Methods in Industry

The article surveys six widely‑used graph‑embedding techniques—DeepWalk, Node2Vec, LINE, SDNE, EGES and Metapath2Vec—explaining how each transforms graph topology into low‑dimensional vectors via random walks, biased sampling, proximity‑based objectives, deep auto‑encoders, side‑information integration, or meta‑path‑guided walks for industrial applications.

DeepWalkEGESMetapath2Vec

0 likes · 14 min read

Overview of Common Graph Embedding Methods in Industry

Tencent Cloud Developer

Jul 8, 2020 · Artificial Intelligence

Graph-Based Chinese Word Embedding (AlphaEmbedding) for Improved Text Matching

AlphaEmbedding builds a weighted graph linking Chinese words, sub‑words, characters and pinyin, then uses random‑walk‑based node2vec training to produce embeddings that capture orthographic and phonetic similarity, markedly improving recall and ranking for homophones, typos and OOV terms in enterprise search.

Chinese NLPText Matchinggraph computing

0 likes · 17 min read

Graph-Based Chinese Word Embedding (AlphaEmbedding) for Improved Text Matching

Sohu Tech Products

May 27, 2020 · Artificial Intelligence

Overview of Graph Embedding Techniques: DeepWalk, LINE, node2vec, and EGES

This article provides a comprehensive overview of graph embedding methods—including DeepWalk, LINE, node2vec, and EGES—explaining their algorithms, random‑walk strategies, proximity definitions, incorporation of side information, and their applications in large‑scale recommendation systems.

DeepWalkRecommendation systemsgraph embedding

0 likes · 20 min read

Overview of Graph Embedding Techniques: DeepWalk, LINE, node2vec, and EGES

DataFunTalk

Apr 28, 2019 · Artificial Intelligence

Graph Algorithms for Fraud Detection and Community Detection: Modularity, Louvain, Infomap, node2vec and comE

This article explains how graph‑based algorithms such as centrality measures, modularity optimization, Louvain, Infomap, node2vec and the comE framework can be applied to financial fraud detection and community discovery, detailing their principles, formulas, implementation steps and evaluation metrics.

InfomapLouvaincommunity-detection

0 likes · 14 min read

Graph Algorithms for Fraud Detection and Community Detection: Modularity, Louvain, Infomap, node2vec and comE