Papers › GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-yan Yeung
We propose a new network architecture, Gated Attention Networks (GaAN), 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. We demonstrate the effectiveness of GaAN on the inductive node classification problem. Moreover, with GaAN as a building block, we construct the Graph Gated Recurrent Unit (GGRU) to address the traffic speed forecasting problem. Extensive experiments on three real-world datasets show that our GaAN framework achieves state-of-the-art results on both tasks.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Node Classification | PPI | GaAN | F1 | 98.7 | #12 of 24 | Archive leaderboard | report |
| Node Property Prediction | ogbn-arxiv | GaAN | Ext. data | No | #70 of 86 | Archive leaderboard | report |
| Node Property Prediction | ogbn-arxiv | GaAN | Number of params | 1471506 | #70 of 86 | Archive leaderboard | report |
| Node Property Prediction | ogbn-arxiv | GaAN | Test Accuracy | 0.7197 ± 0.0024 | #70 of 86 | Archive leaderboard | report |
| Node Property Prediction | ogbn-arxiv | GaAN | Validation Accuracy | Please tell us | #70 of 86 | Archive leaderboard | report |
| Node Property Prediction | ogbn-proteins | GaAN | Ext. data | No | #22 of 26 | Archive leaderboard | report |
| Node Property Prediction | ogbn-proteins | GaAN | Number of params | Please tell us | #22 of 26 | Archive leaderboard | report |
| Node Property Prediction | ogbn-proteins | GaAN | Test ROC-AUC | 0.7803 ± 0.0073 | #22 of 26 | Archive leaderboard | report |
| Node Property Prediction | ogbn-proteins | GaAN | Validation ROC-AUC | Please tell us | #22 of 26 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
Introduced by this paper: GaAN
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