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ShengZhou

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
SIGformer: Sign-aware Graph Transformer for Recommendation
Online Adversarial Knowledge Distillation for Graph Neural Networks
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
Distributionally Robust Graph-based Recommendation System
Homophily-enhanced Structure Learning for Graph Clustering
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Distilling Holistic Knowledge with Graph Neural Networks

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