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홈
SOTA
Node Classification
Node Classification On Cora 05
Node Classification On Cora 05
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Paper Title
Repository
GraphSAGE
37.5%
Inductive Representation Learning on Large Graphs
Snowball (linear + tanh)
67.76%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
CPF-ind_APPNP
77.3%
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
GAT
41.4%
Graph Attention Networks
Snowball (tanh)
71.36%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
ChebyNet
33.9%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
GCN-FP
50.5%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
MT-GCN
66.9%
Mutual Teaching for Graph Convolutional Networks
Snowball (linear)
69.99%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GGNN
48.2%
Gated Graph Sequence Neural Networks
DCNN
59.0%
Diffusion-Convolutional Neural Networks
LanczosNet
58.1 ± 8.2
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
AdaLanczosNet
60.8 ± 9.0
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Truncated Krylov
74.89%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
VCHN
74.9%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
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