Search, retrieval & recommendation· 2019
Neural Graph Collaborative Filtering
DOI 10.1145/3331184.3331267arXiv 1905.08108OpenAlex W2945827670
On the reading lists
- #401 in the Top 500 (2026 edition)
- #31 in Search, retrieval & recommendation (2026 edition)
Why it matters
Popularized explicit user-item graph propagation for learning collaborative embeddings.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1905.08108)
- Citations
- 4,119 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.382 · computed rank 401 · consensus 0.15, must-read 0, citations percentile 0.963 (2010s · retrieval), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.