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Node Classification On Pubmed 003

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Paper Title
VCHN71.8%View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
Truncated Krylov71.11%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)68.12%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
MT-GCN65.5%Mutual Teaching for Graph Convolutional Networks
Snowball (tanh)62.61%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear + tanh)61.94%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
AdaLanczosNet61%LanczosNet: Multi-Scale Deep Graph Convolutional Networks
DCNN60.9%Diffusion-Convolutional Neural Networks
LanczosNet60.4 ± 8.6LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GCN-FP56.2%Convolutional Networks on Graphs for Learning Molecular Fingerprints
GGNN55.8%Gated Graph Sequence Neural Networks
GAT50.9%Graph Attention Networks
GraphSAGE45.4%Inductive Representation Learning on Large Graphs
ChebyNet45.3%Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Node Classification On Pubmed 003 | SOTA | HyperAI