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Node Classification On Cora 3
Node Classification On Cora 3
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Paper Title
Repository
GraphSAGE
64.2%
Inductive Representation Learning on Large Graphs
VCHN
83.1%
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
Truncated Krylov
81.92%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
CPF-tra-GCNII
84.18%
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
GCN-FP
71.7%
Convolutional Networks on Graphs for Learning Molecular Fingerprints
MT-GCN
78.5%
Mutual Teaching for Graph Convolutional Networks
GAT
56.8%
Graph Attention Networks
AdaLanczosNet
77.7 ± 2.4
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet
76.3 ± 2.3
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
GGNN
73.1%
Gated Graph Sequence Neural Networks
ChebyNet
62.1%
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Snowball (linear + tanh)
79.52%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (linear)
80.96%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Snowball (tanh)
80.72%
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
DCNN
76.7%
Diffusion-Convolutional Neural Networks
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