paper-with-me

Node Classification 벤치마크

Node Classification on Cora (1%)

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Accuracy

44.2 53.21 62.22 71.23 80.24 2015-09 2026-09 GCN-FP — 59.6 (2015-09-30) DCNN — 66.4 (2015-11-06) GGNN — 60.5 (2015-11-17) ChebyNet — 44.2 (2016-06-30) GraphSAGE — 49.0 (2017-06-07) GAT — 48.6 (2017-10-30) AdaLanczosNet — 67.5 (2019-01-06) LanczosNet — 66.1 (2019-01-06) Truncated Krylov — 78.15 (2019-06-05) Snowball (linear + tanh) — 74.79 (2019-06-05) Snowball (tanh) — 74.78 (2019-06-05) Snowball (linear) — 73.1 (2019-06-05) MT-GCN — 73.1 (2020-09-02) CPF-ind-APPNP — 80.24 (2021-03-04) VHCN — 78.1 (2022-03-17) GCN-FP — 59.6 (2015-09-30) DCNN — 66.4 (2015-11-06) AdaLanczosNet — 67.5 (2019-01-06) Truncated Krylov — 78.15 (2019-06-05) CPF-ind-APPNP — 80.24 (2021-03-04)
RankModel Accuracy PaperCodeYear
1 CPF-ind-APPNP 80.24% Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework BUPT-GAMMA/CPF 2021
2 Truncated Krylov 78.15% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
3 VHCN 78.1% View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes kunzhan/VCHN 2022
4 Snowball (linear + tanh) 74.79% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
5 Snowball (tanh) 74.78% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 Snowball (linear) 73.10% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 MT-GCN 73.1% Mutual Teaching for Graph Convolutional Networks kunzhan/MTGCN 2020
8 AdaLanczosNet 67.5 ± 8.7 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
9 DCNN 66.4% Diffusion-Convolutional Neural Networks jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6 2015
10 LanczosNet 66.1 ± 8.2 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
11 GGNN 60.5% Gated Graph Sequence Neural Networks dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 2015
12 GCN-FP 59.6% Convolutional Networks on Graphs for Learning Molecular Fingerprints HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5 2015
13 GraphSAGE 49.0% Inductive Representation Learning on Large Graphs pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17 2017
14 GAT 48.6% Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
15 ChebyNet 44.2% Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2 2016
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