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Node Classification On Cora 05

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
GraphSAGE37.5%Inductive Representation Learning on Large Graphs-
Snowball (linear + tanh)67.76%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
CPF-ind_APPNP77.3%Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework-
GAT41.4%Graph Attention Networks-
Snowball (tanh)71.36%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
ChebyNet33.9%Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering-
GCN-FP50.5%Convolutional Networks on Graphs for Learning Molecular Fingerprints-
MT-GCN66.9%Mutual Teaching for Graph Convolutional Networks-
Snowball (linear)69.99%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
GGNN48.2%Gated Graph Sequence Neural Networks-
DCNN59.0%Diffusion-Convolutional Neural Networks-
LanczosNet58.1 ± 8.2LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
AdaLanczosNet60.8 ± 9.0LanczosNet: Multi-Scale Deep Graph Convolutional Networks-
Truncated Krylov74.89%Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks-
VCHN74.9%View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
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Node Classification On Cora 05 | SOTA | HyperAI