Node Classification On Pubmed With Public
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
---|---|---|---|
DAGNN (Ours) | 80.5 ± 0.5 | - | - |
GGNN | 75.8% | - | - |
ChebyNet | 69.8% | - | - |
SuperGAT MX | 81.7% | - | - |
LinkDistMLP | 72.41% | - | - |
G-APPNP | 80.95% | - | - |
Truncated Krylov | 81.7% | - | - |
GraphSAGE | 76.8% | - | - |
SSP | 80.06 ± 0.34% | - | - |
GCN | 81.12 ± 0.52 | - | - |
AIR-GCN | 80% | - | - |
OGC | 83.4% | - | - |
LanczosNet | 78.3 ± 0.3 | - | - |
GCN(predicted-targets) | 80.42% | - | - |
Snowball (linear) | 79.10% | - | - |
GGCM | 80.8% | - | - |
SSGC | 80.4 | - | - |
Graph-MLP | 79.91 | - | - |
GCN+DropEdge | 79.60% | - | - |
CoLinkDistMLP | 75.41% | - | - |
0 of 37 row(s) selected.