Hypergraph Contrastive Collaborative Filtering
Author:
Affiliation:
1. University of Hong Kong, Hong Kong, Hong Kong
2. South China University Of Technology, Guangzhou, China
3. Wilfrid Laurier University, Waterloo, Canada
4. Baidu, Beijing, China
5. York University, Toronto, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3477495.3532058
Reference52 articles.
1. Rianne van den Berg Thomas N Kipf and Max Welling. 2017. Graph convolutional matrix completion. In KDD. Rianne van den Berg Thomas N Kipf and Max Welling. 2017. Graph convolutional matrix completion. In KDD.
2. Hannan Cao Wenmian Yang and Hwee Tou Ng. 2021. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains. In EMNLP. 4867--4874. Hannan Cao Wenmian Yang and Hwee Tou Ng. 2021. Grammatical Error Correction with Contrastive Learning in Low Error Density Domains. In EMNLP. 4867--4874.
3. Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
4. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
5. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020 a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020 a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607.
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