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홈
SOTA
Node Classification
Node Classification On Pubmed 003
Node Classification On Pubmed 003
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Paper Title
Repository
VCHN
71.8%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
DCNN
60.9%
Diffusion-Convolutional Neural Networks
Truncated Krylov
71.11%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GGNN
55.8%
Gated Graph Sequence Neural Networks
Snowball (tanh)
62.61%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GAT
50.9%
Graph Attention Networks
ChebyNet
45.3%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
MT-GCN
65.5%
Mutual Teaching for Graph Convolutional Networks
Snowball (linear + tanh)
61.94%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)
68.12%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
AdaLanczosNet
61%
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GCN-FP
56.2%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
LanczosNet
60.4 ± 8.6
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GraphSAGE
45.4%
Inductive Representation Learning on Large Graphs
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