FA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Molecular docking | fa7 | Mean Docking Score-10.359 | 18 | |
| Learning-to-branch | FA (test) | Objective Value17,865.38 | 9 | |
| Disentangled Representation Learning | FA15 | LDSI (FVH-LT)0.933 | 8 | |
| Branching Accuracy | FA (test) | Accuracy62.1 | 8 | |
| Solving MILP instances | FA (test) | Average Solving Time (s)0.01 | 8 | |
| Structural Distributional Similarity | FA | Structural Distributional Similarity Score0.663 | 7 | |
| Multi-class stroke classification | FA | Label Accuracy99.9 | 5 | |
| Mixed Integer Linear Programming Solving | FA | Objective Value17,865.38 | 4 |
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