Tutorial 3a Hands On Explainable Recommender Systems With Knowledge Graphs

By Editorial Team · October 19, 2026 · 6 min read

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Details How to Use Knowledge Graph as a Recommendation System News
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RecSys22 Tutorial Trailer - Hands on Explainable Recommender Systemswith Knowledge Graphs
RecSys22 Tutorial Trailer - Hands on Explainable Recommender Systemswith Knowledge Graphs
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems
Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems
Graph Representation Learning From Knowledge Graphs to Recommender Systems / Hongwei Wang (UIUC)
Graph Representation Learning From Knowledge Graphs to Recommender Systems / Hongwei Wang (UIUC)
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
GNN Short Course Chapter 5 - Recommendation Systems
GNN Short Course Chapter 5 - Recommendation Systems
Knowledge Graphs for Recommender Systems: An Overview
Knowledge Graphs for Recommender Systems: An Overview
KDD 2020: Hands-On Tutorials: In Search for A Cure Recommendation with Knowledge Graph on CORD-19
KDD 2020: Hands-On Tutorials: In Search for A Cure Recommendation with Knowledge Graph on CORD-19
Augmenting Visual Information in Knowledge Graphs for Recommendations
Augmenting Visual Information in Knowledge Graphs for Recommendations
Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems
Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems
Tutorial 3B Improving Recommender Systems with Human in the Loop
Tutorial 3B Improving Recommender Systems with Human in the Loop

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Last Updated: October 19, 2026

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Information Sparse Feature Factorization for Recommender Systems with Knowledge Graphs Update
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RecSys 2021 Sparse Feature Factorization for Authors: Hongwei Wang (Shanghai Jiao Tong University);Fuzheng Zhang (Meituan-Dianping Group);Mengdi Zhang ... Graph Representation Learning From Authors: Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua. In this segment we will study the problem of Le Zhang: Microsoft; Le Zhang: Microsoft; Zhihong Shen: Microsoft Research Redmond; Jianxun Lian: MSRA; Chieh-han Wu: ... Augmenting Visual Information in To along with the course, visit the course website: snap.stanford.edu/class/cs224w-2023/ Jure Leskovec Professor of ... RecSys 2021 RecSys 2022 Improving

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