Graph Models
Gated Attention Networks
Introduced by Zhang et al. in GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal GraphsGated 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
Source: GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Papers
| Paper | Code | Results | Date | Stars |
|---|
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
