Latest
- Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
- Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
- Uncertainty-Aware Graph Structure Learning
- Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
- Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
- PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
- Online Adversarial Knowledge Distillation for Graph Neural Networks
- CDR: Conservative Doubly Robust Learning for Debiased Recommendation
- Distributionally Robust Graph-based Recommendation System
- How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
- ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
- OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
- Accelerating Diffusion Sampling with Classifier-based Feature Distillation
- Holistic Weighted Distillation for Semantic Segmentation
- Knowledge Distillation with the Reused Teacher Classifier
- Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
- JointE: Jointly Utilizing 1D And 2D Convolution for Knowledge Graph Embedding
- Cross-Layer Distillation with Semantic Calibration
- Online Knowledge Distillation with Diverse Peers