Node Classification on Cora: fixed 20 node per class

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DSGCN	84.2	No	Bridging the Gap Between Spectral and Spatial Do...	2020-03-26	Code
2	Self-supervised GraphMAE	84.2	No	GraphMAE: Self-Supervised Masked Graph Autoencod...	2022-05-22	Code
3	LDS-GNN	84.1	No	Learning Discrete Structures for Graph Neural Ne...	2019-03-28	Code
4	TREE-G	83.5	No	TREE-G: Decision Trees Contesting Graph Neural N...	2022-07-06	Code
5	SSGC	83	No	-	-	Code

#1DSGCNSOTA
84.2
Accuracy· 2020-03-26
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks Code
#2Self-supervised GraphMAE
84.2
Accuracy· 2022-05-22
GraphMAE: Self-Supervised Masked Graph Autoencoders Code
#3LDS-GNNSOTA
84.1
Accuracy· 2019-03-28
Learning Discrete Structures for Graph Neural Networks Code
#4TREE-G
83.5
Accuracy· 2022-07-06
TREE-G: Decision Trees Contesting Graph Neural Networks Code
#5SSGC
83
Accuracy
No paperCode