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홈
SOTA
Node Classification
Node Classification On Cora 1
Node Classification On Cora 1
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Paper Title
Repository
GCN-FP
59.6%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
GGNN
60.5%
Gated Graph Sequence Neural Networks
MT-GCN
73.1%
Mutual Teaching for Graph Convolutional Networks
Snowball (tanh)
74.78%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)
73.10%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear + tanh)
74.79%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
AdaLanczosNet
67.5 ± 8.7
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet
66.1 ± 8.2
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
CPF-ind-APPNP
80.24%
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
VHCN
78.1%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
ChebyNet
44.2%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Truncated Krylov
78.15%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
GAT
48.6%
Graph Attention Networks
GraphSAGE
49.0%
Inductive Representation Learning on Large Graphs
DCNN
66.4%
Diffusion-Convolutional Neural Networks
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