AI for science· survey· 2018
Graph neural networks: A review of methods and applications
DOI 10.1016/j.aiopen.2021.01.001arXiv 1812.08434OpenAlex W3152893301
On the reading lists
- #20 on the Surveys & tutorials shelf (2026 edition)
Why it matters
Comprehensive review of GNNs.
Condensed from the expert lists' notes.
The record
- First released
- 2018 (from arXiv 1812.08434)
- Published
- 2020
- Citations
- 7,486 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the grok list only
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.