HyperAI

Node Classification On Pubmed With Public

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
DAGNN (Ours)80.5 ± 0.5--
GGNN75.8%--
ChebyNet69.8%--
SuperGAT MX81.7%--
LinkDistMLP72.41%--
G-APPNP80.95%--
Truncated Krylov81.7%--
GraphSAGE76.8%--
SSP80.06 ± 0.34%--
GCN81.12 ± 0.52--
AIR-GCN80%--
OGC83.4%--
LanczosNet78.3 ± 0.3--
GCN(predicted-targets)80.42%--
Snowball (linear)79.10%--
GGCM80.8%--
SSGC80.4--
Graph-MLP79.91--
GCN+DropEdge79.60%--
CoLinkDistMLP75.41%--
0 of 37 row(s) selected.