Neural Graph Collaborative Filtering
Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged ...
Publications
2 shownSelf-supervised Graph Learning for Recommendation
Representation learning on user-item graph for recommendation has evolved\nfrom using single ID or interaction history to exploiting higher-order\nneighbors. This leads to the s...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 3,899
- Institution
- University of Science and Technology of China
External Links
Identifiers
- ORCID
- 0000-0001-6384-900X
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.