Model card
ChebGAT-GCN.
AcademicclassificationChebyshev Spectral GCN + Graph Attention Network1 current SOTA
Enhanced GCN combining Chebyshev Spectral Graph Convolution and Graph Attention Networks (GAT) with multi-branch architecture for multimodal neuroimaging. Submitted Nov 2025.
§ 01 · Benchmarks
Every benchmark ChebGAT-GCN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | auc | 82.0% | #1 | 2025-11-27 | source ↗ |
| 02 | ABIDE I | Medical · Disease Classification | accuracy | 74.8% | #10 | 2025-11-27 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for ChebGAT-GCN.
§ 04 · Related models
Other Academic models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
paper
2
results
2 of 2 rows marked verified.