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DataFunSummit
DataFunSummit
Oct 31, 2024 · Artificial Intelligence

Community Recommendation in Tencent Games: Adaptive K‑Free Community Detection and Constrained Large‑Scale Community Recommendation (ComRec)

This article presents Tencent's research on community recommendation for online games, introducing an adaptive K‑Free community detection algorithm (DAG) to address cold‑start and unknown community count, a constrained large‑scale recommendation method (ComRec), their evaluation metrics, experimental results, and deployment insights.

Tencent GamesUnsupervised Learningcommunity-detection
0 likes · 20 min read
Community Recommendation in Tencent Games: Adaptive K‑Free Community Detection and Constrained Large‑Scale Community Recommendation (ComRec)
DataFunTalk
DataFunTalk
Aug 4, 2024 · Artificial Intelligence

Community Recommendation in Tencent Games: Adaptive K‑Free Community Detection and Constrained Large‑Scale Community Recommendation (ComRec)

This article presents Tencent's research on community recommendation for online games, covering the motivation behind recommending player groups, the challenges of cold‑start and data sparsity, the adaptive K‑Free community detection algorithm (DAG) with joint structural‑semantic learning, the constrained large‑scale ComRec algorithm, extensive offline and online experiments, and practical deployment insights.

Tencent GamesUnsupervised Learningcommunity recommendation
0 likes · 20 min read
Community Recommendation in Tencent Games: Adaptive K‑Free Community Detection and Constrained Large‑Scale Community Recommendation (ComRec)
DataFunSummit
DataFunSummit
Jun 15, 2022 · Artificial Intelligence

Introducing DGL: An Efficient, Easy‑to‑Use Graph Deep Learning Platform and Its Future Roadmap

This article presents an overview of the Deep Graph Library (DGL), covering graph data and graph neural networks, DGL's advantages such as flexible APIs, operator fusion, large‑scale training support, its open‑source ecosystem, recent projects, performance comparisons, and future development plans.

DGLGraph Samplinglarge-scale graphs
0 likes · 18 min read
Introducing DGL: An Efficient, Easy‑to‑Use Graph Deep Learning Platform and Its Future Roadmap
DataFunTalk
DataFunTalk
May 14, 2022 · Artificial Intelligence

Introducing DGL: An Efficient, User‑Friendly, Open Graph Deep Learning Platform

This article presents an overview of graph data and graph neural networks, explains the core concepts of message‑passing GNNs, highlights DGL’s flexible API, high‑performance system design, large‑scale training capabilities and open‑source ecosystem, and outlines future plans and community resources.

DGLDeep Learninggraph data
0 likes · 17 min read
Introducing DGL: An Efficient, User‑Friendly, Open Graph Deep Learning Platform
DataFunSummit
DataFunSummit
Jan 14, 2022 · Artificial Intelligence

Graph Attention Multi‑Layer Perceptron (GAMLP) and Node‑Dependent Local Smoothing (NDLS) for Scalable and Flexible Graph Neural Networks

This presentation introduces Tencent Angel Graph's NDLS and GAMLP techniques that address GNN scalability and flexibility by adaptively selecting propagation depth per node, employing node‑wise feature and label propagation with attention mechanisms, and demonstrating superior performance on large‑scale and sparse graph benchmarks.

GAMLPNode AdaptiveScalability
0 likes · 16 min read
Graph Attention Multi‑Layer Perceptron (GAMLP) and Node‑Dependent Local Smoothing (NDLS) for Scalable and Flexible Graph Neural Networks
JD Retail Technology
JD Retail Technology
Oct 21, 2020 · Artificial Intelligence

Galileo: A Distributed Graph Deep Learning Framework for Large‑Scale Industrial Scenarios

The article introduces Galileo, JD Retail's distributed graph deep‑learning platform that supports heterogeneous and dynamic graphs, ultra‑large scale training, flexible model customization, and seamless integration with TensorFlow and PyTorch, highlighting its architecture, core challenges, built‑in algorithms, and upcoming open‑source release.

AI PlatformDistributed Traininggraph embedding
0 likes · 11 min read
Galileo: A Distributed Graph Deep Learning Framework for Large‑Scale Industrial Scenarios
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 16, 2019 · Artificial Intelligence

How IntentGC Scales Graph Convolution for Billion‑Node Recommendation Systems

IntentGC, a KDD 2019 paper, introduces a scalable graph convolution framework that fuses explicit user‑item interactions with rich heterogeneous signals to tackle link‑prediction on billion‑node e‑commerce graphs, offering efficient training, dual‑convolution design, and superior performance over existing baselines.

IntentGCRecommendation Systemsgraph convolution
0 likes · 10 min read
How IntentGC Scales Graph Convolution for Billion‑Node Recommendation Systems
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 18, 2019 · Artificial Intelligence

How Alibaba’s Open‑Source Euler Framework Powers Large‑Scale Graph Deep Learning

Euler, Alibaba's newly open‑sourced graph deep‑learning framework, combines distributed graph processing with neural network training to handle billions of nodes and edges, supports heterogeneous graphs, offers built‑in algorithms, and has already boosted advertising, fraud detection, and other industry applications.

AI InfrastructureEuler frameworkdistributed computing
0 likes · 11 min read
How Alibaba’s Open‑Source Euler Framework Powers Large‑Scale Graph Deep Learning