Multi-GAT
Reported on 2 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Robots2 results
- F1-Score (Cross-Session)91.48
- F1-Score (Cross-Subject)75.24best: 89.6 (Fusion-GCN)