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Node Classification

Node Classification is a machine learning task in graph data analysis, aiming to predict unknown attributes of nodes in a graph based on the attributes of the nodes and their relationships. This task is implemented through models such as Graph Neural Networks, and its performance is typically evaluated using metrics like Accuracy and F1 on benchmark datasets such as Cora, Citeseer, and Pubmed. Node Classification has significant application value in areas like social network analysis, recommendation systems, and bioinformatics.

CiteSeer with Public Split: fixed 20 nodes per class

Chameleon (60%/20%/20% random splits)

Film (60%/20%/20% random splits)

PubMed (60%/20%/20% random splits)

PubMed with Public Split: fixed 20 nodes per class

Squirrel (60%/20%/20% random splits)

Cora with Public Split: fixed 20 nodes per class

Cornell (60%/20%/20% random splits)

Texas (60%/20%/20% random splits)

Wisconsin (60%/20%/20% random splits)

CiteSeer (60%/20%/20% random splits)

Cora (60%/20%/20% random splits)

Citeseer (48%/32%/20% fixed splits)

Cora (48%/32%/20% fixed splits)

PubMed (48%/32%/20% fixed splits)

Truncated Krylov

JK (Heat Diffusion)

CiteSeer (0.5%)

Truncated Krylov

Coauthor Physics

Truncated Krylov

Truncated Krylov

Amazon Computers

Cora: fixed 20 node per class

Self-supervised GraphMAE

Cora Full-supervised

GNNMoE(GCN-like P)

GCN+GAugM (Zhao et al., 2021)

Brazil Air-Traffic

Citeseer Full-supervised

IncepGCN+DropEdge

Europe Air-Traffic

GCN_cheby (Kipf and Welling, 2017)

Pubmed Full-supervised

GraphSAGE+DropEdge

USA Air-Traffic

DEMO-Net(weight)

DEMO-Net(weight)

ASDNet [ASDNet_ICCV2021]

DEMO-Net(weight)

Chameleon (48%/32%/20% fixed splits)

Cora Full with Public Split

Squirrel (48%/32%/20% fixed splits)

Cornell (48%/32%/20% fixed splits)

Chameleon(60%/20%/20% random splits)

Citeseer: fixed 20 node per class

Cora: fixed 10 node per class

Cora: fixed 5 node per class

Squirrel(60%/20%/20% random splits)

Telegram (Directed Graph label rate 60%)

Texas (48%/32%/20% fixed splits)

Wisconsin (48%/32%/20% fixed splits)

AMZ Computers: fixed 20 node per class

CellTypeGraph Benchmark

plantcelltype-EdgeDeeperGCN

Citeseer random partition

CiteSeer with Public Split: fixed 5 nodes per class

Cora: fixed 20 nodes per class

Cora random partition

Film(48%/32%/20% fixed splits)

Pubmed: fixed 20 node per class

Pubmed random partition