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SOTA
Node Classification
Node Classification On Citeseer 05
Node Classification On Citeseer 05
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Accuracy
Paper Title
Repository
Snowball (linear + tanh)
61.99%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
LanczosNet
53.2 ± 4.0
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GGNN
44.3%
Gated Graph Convolutional Recurrent Neural Networks
Snowball (tanh)
62.05%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GraphSAGE
33.8%
Inductive Representation Learning on Large Graphs
MT-GCN
67.7%
Mutual Teaching for Graph Convolutional Networks
GCN-FP
43.9%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
DCNN
53.1%
Diffusion-Convolutional Neural Networks
VCHN
65.6%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
AdaLanczosNet
53.8 ± 4.7
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
ChebyNet
45.3%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Truncated Krylov
64.64%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GAT
38.2%
Graph Attention Networks
Snowball (linear)
59.41%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
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