Cite
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Cite semi-supervised | Accuracy75.25 | 61 | |
| Reconstruction of Discrete Branching Dynamics | CITE 50D (t=3) | W19.182 | 24 | |
| Clustering | CITE (test) | Accuracy72.75 | 15 | |
| Reconstruction of Discrete Branching Dynamics | 50D CITE (t=2) | W127.478 | 12 | |
| Reconstruction of Discrete Branching Dynamics | CITE 50D (t=1) | W127.021 | 12 | |
| Trajectory interpolation | CITE 50D (held-out time points) | Mean W137.087 | 12 | |
| Single-cell interpolation | Cite 5D | EMD0.724 | 12 | |
| Population Growth Modeling | 50D CITE t=3 | W132.23 | 12 | |
| Population Growth Modeling | 50D CITE t=2 | W1 Score27.478 | 12 | |
| Population Growth Modeling | 50D CITE t=1 | W127.509 | 12 | |
| Multi-label node classification | CITE | Micro-F142.24 | 9 | |
| Cell state distribution prediction | CITE 50D (held-out) | Mean W139.574 | 8 | |
| Single-cell trajectory interpolation | Cite (leave-one-out held-out timepoints) | 1-Wasserstein Distance0.8985 | 5 | |
| Time-point interpolation | Cite | EMD0.791 | 5 | |
| Inference Time Comparison | CITE | Speedup (vs WFR-FM RK)38 | 1 |
Showing 15 of 15 rows