paper-with-me

Node Classification 벤치마크

Node Classification on Cora (3%)

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Accuracy

56.8 63.64 70.49 77.34 84.18 2015-09 2026-09 GCN-FP — 71.7 (2015-09-30) DCNN — 76.7 (2015-11-06) GGNN — 73.1 (2015-11-17) ChebyNet — 62.1 (2016-06-30) GraphSAGE — 64.2 (2017-06-07) GAT — 56.8 (2017-10-30) AdaLanczosNet — 77.7 (2019-01-06) LanczosNet — 76.3 (2019-01-06) Truncated Krylov — 81.92 (2019-06-05) Snowball (linear) — 80.96 (2019-06-05) Snowball (tanh) — 80.72 (2019-06-05) Snowball (linear + tanh) — 79.52 (2019-06-05) MT-GCN — 78.5 (2020-09-02) CPF-tra-GCNII — 84.18 (2021-03-04) VCHN — 83.1 (2022-03-17) GCN-FP — 71.7 (2015-09-30) DCNN — 76.7 (2015-11-06) AdaLanczosNet — 77.7 (2019-01-06) Truncated Krylov — 81.92 (2019-06-05) CPF-tra-GCNII — 84.18 (2021-03-04)
RankModel Accuracy PaperCodeYear
1 CPF-tra-GCNII 84.18% Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework BUPT-GAMMA/CPF 2021
2 VCHN 83.1% View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes kunzhan/VCHN 2022
3 Truncated Krylov 81.92% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
4 Snowball (linear) 80.96% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
5 Snowball (tanh) 80.72% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 Snowball (linear + tanh) 79.52% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
7 MT-GCN 78.5% Mutual Teaching for Graph Convolutional Networks kunzhan/MTGCN 2020
8 AdaLanczosNet 77.7 ± 2.4 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
9 DCNN 76.7% Diffusion-Convolutional Neural Networks jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6 2015
10 LanczosNet 76.3 ± 2.3 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
11 GGNN 73.1% Gated Graph Sequence Neural Networks dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 2015
12 GCN-FP 71.7% Convolutional Networks on Graphs for Learning Molecular Fingerprints HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5 2015
13 GraphSAGE 64.2% Inductive Representation Learning on Large Graphs pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17 2017
14 ChebyNet 62.1% Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2 2016
15 GAT 56.8% Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
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