OpenCodePapers
node-classification-on-citeseer-05
Node Classification
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Results over time
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Mutual Teaching for Graph Convolutional Networks
✓ Link
67.7%
MT-GCN
2020-09-02
View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
✓ Link
65.6%
VCHN
2022-03-17
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
64.64%
Truncated Krylov
2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
62.05%
Snowball (tanh)
2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
61.99%
Snowball (linear + tanh)
2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
59.41%
Snowball (linear)
2019-06-05
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
✓ Link
53.8 ± 4.7
AdaLanczosNet
2019-01-06
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
✓ Link
53.2 ± 4.0
LanczosNet
2019-01-06
Diffusion-Convolutional Neural Networks
✓ Link
53.1%
DCNN
2015-11-06
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
✓ Link
45.3%
ChebyNet
2016-06-30
Gated Graph Convolutional Recurrent Neural Networks
✓ Link
44.3%
GGNN
2019-03-05
Convolutional Networks on Graphs for Learning Molecular Fingerprints
✓ Link
43.9%
GCN-FP
2015-09-30
Graph Attention Networks
✓ Link
38.2%
GAT
2017-10-30
Inductive Representation Learning on Large Graphs
✓ Link
33.8%
GraphSAGE
2017-06-07