Graph learning· 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
DOI 10.1145/3219819.3219890arXiv 1806.01973OpenAlex W2807021761
On the reading lists
- #342 in the Top 500 (2026 edition)
- #16 in Graph learning (2026 edition)
Why it matters
Demonstrated scalable graph convolutions in industrial recommendation systems.
Condensed from the expert lists' notes.
The record
- First released
- 2018 (from arXiv 1806.01973)
- Citations
- 4,334 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Also relevant to
- Search, retrieval & recommendation
- Score
- 0.416 · computed rank 342 · consensus 0.5, must-read 0, citations percentile 0.761 (2010s · graphs), 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.