OpenCodePapers
node-classification-on-citeseer-1
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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View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes
✓ Link
70.1%
VCHN
2022-03-17
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
69.03%
Truncated Krylov
2019-06-05
Mutual Teaching for Graph Convolutional Networks
✓ Link
68.9%
MT-GCN
2020-09-02
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
67.07%
Snowball (linear + tanh)
2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
65.85%
Snowball (linear)
2019-06-05
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
✓ Link
64.23%
Snowball (tanh)
2019-06-05
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
✓ Link
63.3 ± 1.8
AdaLanczosNet
2019-01-06
Diffusion-Convolutional Neural Networks
✓ Link
62.2%
DCNN
2015-11-06
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
✓ Link
61.3 ± 3.9
LanczosNet
2019-01-06
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
✓ Link
59.4%
ChebyNet
2016-06-30
Gated Graph Sequence Neural Networks
✓ Link
56.0%
GGNN
2015-11-17
Convolutional Networks on Graphs for Learning Molecular Fingerprints
✓ Link
54.3%
GCN-FP
2015-09-30
Inductive Representation Learning on Large Graphs
✓ Link
51.0%
GraphSAGE
2017-06-07
Graph Attention Networks
✓ Link
46.5%
GAT
2017-10-30