paper-with-me

Node Classification 벤치마크

Node Classification on CiteSeer (1%)

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Accuracy

46.5 52.4 58.3 64.2 70.1 2015-09 2026-09 GCN-FP — 54.3 (2015-09-30) DCNN — 62.2 (2015-11-06) GGNN — 56.0 (2015-11-17) ChebyNet — 59.4 (2016-06-30) GraphSAGE — 51.0 (2017-06-07) GAT — 46.5 (2017-10-30) AdaLanczosNet — 63.3 (2019-01-06) LanczosNet — 61.3 (2019-01-06) Truncated Krylov — 69.03 (2019-06-05) Snowball (linear + tanh) — 67.07 (2019-06-05) Snowball (linear) — 65.85 (2019-06-05) Snowball (tanh) — 64.23 (2019-06-05) MT-GCN — 68.9 (2020-09-02) VCHN — 70.1 (2022-03-17) GCN-FP — 54.3 (2015-09-30) DCNN — 62.2 (2015-11-06) AdaLanczosNet — 63.3 (2019-01-06) Truncated Krylov — 69.03 (2019-06-05) VCHN — 70.1 (2022-03-17)
RankModel Accuracy PaperCodeYear
1 VCHN 70.1% View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes kunzhan/VCHN 2022
2 Truncated Krylov 69.03% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
3 MT-GCN 68.9% Mutual Teaching for Graph Convolutional Networks kunzhan/MTGCN 2020
4 Snowball (linear + tanh) 67.07% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
5 Snowball (linear) 65.85% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 Snowball (tanh) 64.23% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
7 AdaLanczosNet 63.3 ± 1.8 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
8 DCNN 62.2% Diffusion-Convolutional Neural Networks jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6 2015
9 LanczosNet 61.3 ± 3.9 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
10 ChebyNet 59.4% Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2 2016
11 GGNN 56.0% Gated Graph Sequence Neural Networks dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 2015
12 GCN-FP 54.3% Convolutional Networks on Graphs for Learning Molecular Fingerprints HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5 2015
13 GraphSAGE 51.0% Inductive Representation Learning on Large Graphs pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17 2017
14 GAT 46.5% Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
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