yongdongzhang

Latest

• Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation
• Alleviating Structural Distribution Shift in Graph Anomaly Detection
• Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum
• Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis
• Interpolative Distillation for Unifying Biased and Debiased Recommendation
• Addressing Confounding Feature Issue for Causal Recommendation
• CatGCN: Graph Convolutional Networks with Categorical Node Features
• Causal Incremental Graph Convolution for Recommender System Retraining
• Rumor Detection with Self-supervised Learning on Texts and Social Graph
• Causal Intervention for Leveraging Popularity Bias in Recommendation
• How to Retrain Recommender System? A Sequential Meta-Learning Approach
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
• Bilinear Graph Neural Network with Neighbor Interactions
• Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation
• Semi-supervised User Profiling with Heterogeneous Graph Attention Networks