Node Classification on DBLP (Micro-F1, Macro-F1) benchmark leaderboard · SOTA2 Research

Node Classification on DBLP (Micro-F1, Macro-F1)

95.45Micro-F1ToGRL

Evaluation Results

Method	Links
ToGRL2026.04		95.45	94.9
DiRecGNN2025.10		95.29	95.03
PHGT2025.12		94.6	94.2
Simple-HGN2025.10		94.46	94.01
PHGT2025.12		94.3	93.6
HINormer2025.12		94.2	93.8
Node2Vec2026.04		94.05	93.26
GTN2025.10		93.97	93.52
RSHN2025.10		93.81	93.34
SpikingHAN2025.12		93.8	93.3
MAGNN2025.10		93.76	93.28
PHGT2025.12		93.7	93.3
SpikingHAN2025.12		93.7	93.2
HAN2025.12		93.7	93.2
HINormer2025.12		93.7	93.2
SpikingHAN2025.12		93.7	93.2
HINormer2025.12		93.6	92.2
HAN2025.12		93.6	93.1
Metapath2Vec2026.04		93.52	92.67
HGT2025.10		93.49	93.01
GAT2025.10		93.39	93.83
HAN2025.12		93.1	92.5
GAT2025.12		92.9	91.6
SeHGNN2026.04		92.81	93.32
SimpleHGN2026.04		92.76	91.72
HetGNN2025.10		92.33	91.76
RGCN2025.10		92.07	91.52
HAN2025.10		92.05	91.67
DAGNN2025.12		91.9	91.2
GAT2025.12		91.9	91.4
DAGNN2025.12		91.8	91.1
DAGNN2025.12		91.6	91.1
GTN2026.04		91.55	90.56
SpikeGCL2025.12		91.5	90.9
GCN2025.10		91.47	90.84
GAT2025.12		91.4	90.8
SpikeGCL2025.12		91.3	90.7
SpikeGCL2025.12		90.6	89.9
SpikingGCN2025.12		90.4	89.5
SpikingGCN2025.12		90.3	89.3
SpikingGCN2025.12		88.7	88.1
CKD2026.04		87.89	86.54
HGT2026.04		86.31	85.01
HetSANN2025.10		80.56	78.55
SLAPS2026.04		56.7	55.32
Transh2026.04		34.05	27.42