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SOTA
Node Classification
Node Classification On Pubmed 01
Node Classification On Pubmed 01
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
Truncated Krylov
77.21%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
VCHN
76.8%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
Snowball (linear + tanh)
75.30%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (tanh)
74.40%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)
73.83%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
LanczosNet
73.4 ± 5.1
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
DCNN
73.1%
Diffusion-Convolutional Neural Networks
MT-GCN
73.1%
Mutual Teaching for Graph Convolutional Networks
AdaLanczosNet
72.8 ± 4.6
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GGNN
70.4%
Gated Graph Sequence Neural Networks
GCN-FP
70.3%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
GraphSAGE
65.4%
Inductive Representation Learning on Large Graphs
GAT
59.6%
Graph Attention Networks
ChebyNet
55.2%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Node Classification On Pubmed 01 | SOTA | HyperAI