Brain network classification on PPMI (CN vs Prodromal vs PD, 5-fold CV) benchmark leaderboard · SOTA2 Research

Brain network classification on PPMI (CN vs Prodromal vs PD, 5-fold CV)

76.8AccuracyMuHL

Evaluation Results

Method	Links
MuHL2026.06		76.8	66.6	60.7	62.4
GAT2026.06		72.9	55.1	52	52.3
BQN2026.06		71.9	63.2	51	56.4
UniGCNII2026.06		70.8	59.6	54.3	55.2
ALTER2026.06		69.6	55.2	55.8	54.5
HNHN2026.06		69.1	52.6	48.5	48
dwHGCN2026.06		69	51.5	44.2	43.3
BrainGB2026.06		68.8	48.8	42.8	41.6
GCNII2026.06		68.5	52.5	42.8	41.4
HyperGT2026.06		68.5	51.7	42	39.6
BrainGNN2026.06		68.1	48.8	40.8	38.2
IBGNN2026.06		68.1	51.1	42.1	38.7
BioBGT2026.06		68	54.3	48.7	45.7
BrainNetTF2026.06		67.9	55.6	45.7	45
SGCN2026.06		67.6	39	40.6	37.6
HyperDrop2026.06		67.5	41.5	39.2	36
HyBRiD2026.06		67.2	54.8	52	52.8
GCN2026.06		66.3	46.2	41.5	38.9
HGNN2026.06		65.2	43.3	41.9	40.3
DHHNN2026.06		60.6	62.3	52.7	54