Methods › Graphs › Graph Models › GaAN
Gated Attention Networks
GaAN
Introduced by Jiani Zhang et al. in GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Gated Attention Networks (GaAN) is a new architecture for learning on graphs. Unlike the traditional multi-head attention mechanism, which equally consumes all attention heads, GaAN uses a convolutional sub-network to control each attention head’s importance.
Image credit: GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Graph Attribute Aggregation Network with Progressive Margin Folding 14 May 2019 · 0 repositories · arXiv:1905.05347
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GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs 20 Mar 2018 · 1 repository · arXiv:1803.07294
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Attribute | 1 |
| General Classification | 1 |
| Node Classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections