1. Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017 . Graph convolutional matrix completion . In International Conference on Knowledge Discovery & Data Mining (KDD). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. In International Conference on Knowledge Discovery & Data Mining (KDD).
2. Xuheng Cai Chao Huang Lianghao Xia and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In ICLR. Xuheng Cai Chao Huang Lianghao Xia and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In ICLR.
3. Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
4. AutoDebias: Learning to Debias for Recommendation
5. Lei Chen , Le Wu , Richang Hong , Kun Zhang , and Meng Wang . 2020 . Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In International Conference on Artificial Intelligence (AAAI), Vol. 34 . 27–34. Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In International Conference on Artificial Intelligence (AAAI), Vol. 34. 27–34.