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Benchmarks
Graph Classification on CORA (test)
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81.72
Accuracy
GCN (Direct)
39.2672
50.2886
61.31
72.3314
May 21, 2019
Jul 12, 2020
Sep 3, 2021
Oct 26, 2022
Dec 18, 2023
Feb 8, 2025
Apr 2, 2026
Accuracy
Updated 15d ago
Evaluation Results
Method
Method
Links
Accuracy
GCN (Direct)
Model=GCN, #Params=92,...
2026.04
81.72
GCN
Evaluation Protocol=Di...
2026.04
81.72
GAT (Direct)
Model=GAT, #Params=92,...
2026.04
81.32
GAT (UHN)
Model=GAT, #Params=612...
2026.04
79.81
GCN (UHN)
Model=GCN, #Params=612...
2026.04
79.5
UHN
Model=GCN, Evaluation...
2026.04
79.5
UHN
Model=GCN, Evaluation...
2026.04
79.3
(s)KNN-LDS
Learning Paradigm=Supe...
2019.05
72.3
KNN-LDS
Learning Paradigm=Supe...
2019.05
71.5
SA2GFM
shot=5-shot, attack=no...
2025.11
66.6
GraphPrompt
shot=5-shot, attack=no...
2025.11
65.3
MDGFM
shot=5-shot, attack=no...
2025.11
64
MDGPT
shot=5-shot, attack=no...
2025.11
59.8
GraphBridge
shot=5-shot, attack=no...
2025.11
58.4
GCOPE
shot=5-shot, attack=no...
2025.11
55.1
GRAPHCL
shot=5-shot, attack=no...
2025.11
51
DGI
shot=5-shot, attack=no...
2025.11
49.3
GAT
shot=5-shot, attack=no...
2025.11
48.8
GCN
shot=5-shot, attack=no...
2025.11
40.9
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