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Node Classification On Pubmed 005

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
GAT50.4%Graph Attention Networks-
AdaLanczosNet66%LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
LanczosNet68.8 ± 5.6LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
ChebyNet48.2%Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering-
MT-GCN69.5%Mutual Teaching for Graph Convolutional Networks-
Snowball (linear + tanh)69.45%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
GGNN63.3%Gated Graph Sequence Neural Networks-
GCN-FP63.2%Convolutional Networks on Graphs for Learning Molecular Fingerprints-
Truncated Krylov72.57%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
DCNN66.7%Diffusion-Convolutional Neural Networks-
Snowball (linear)70.04%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
GraphSAGE53.0%Inductive Representation Learning on Large Graphs-
Snowball (tanh)68.99%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
VCHN74.3%View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
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Node Classification On Pubmed 005 | SOTA | HyperAI