Cora
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Cora-ML imbalanced, ratio 100:1 (test)
64.9Accuracy
7
CORA (test)
0Degree MMD
7
Cora h=0.81 (140 labeled nodes)
0.865Micro-F1
7
Cora h=0.81 (70 labeled nodes)
81.8Micro-F1
7
Cora h=0.81 (35 labeled nodes)
78.4Micro-F1
7
CORA 80/10/10 random split (test)
83Accuracy
7
Cora Full semi-supervised inductive
57.33Accuracy
7
Cora semi-supervised inductive
77.14Accuracy
7
Cora Full (semi-supervised transductive)
57.58Accuracy
7
Cora (semi-supervised transductive)
0.814Accuracy
7
Cora Standard 20 nodes/class (Fixed train)
84.4Accuracy
7
Cora Includes node attributes (10 runs on random splits)
94.07AUC
7
Cora reduced-label (test)
79.6Accuracy
7
Cora
100Recall@k
6
Cora
46.07FP Rate
6
Cora
85.29Hits@K
6
Cora GNN
1Spearman's Rho
6
Cora Label Shift
95.85AUROC
6
Cora (test)
56.6Precision
6
Cora (test)
2.251Training Time (s)
6
cora concept_degree (test)
88.77Accuracy
6
Cora Homophily Shift OOD-high top 15% nodes (test)
91.03Accuracy
6
Cora Degree Shift OOD-high top 15% nodes by degree (test)
86.08Accuracy
6
Cora
82.4Accuracy (Clean)
6
Cora ML
83.5Accuracy (Clean)
6