GAT
ai model→ stable
GAT is a graph neural network architecture developed by researchers that uses attention mechanisms to weigh the importance of neighboring nodes, differentiating it from other GNNs like GCN.
2Total Mentions
+0.10Sentiment (Neutral)
0.0%Velocity (7d)
First seen: Mar 2, 2026Last active: Mar 2, 2026
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Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W10 | 0.10 | 2 |