paper-with-me

Node Classification 벤치마크

Node Classification on CiteSeer (0.5%)

14개 결과 · ⬇ CSV · JSON

Accuracy

33.8 42.27 50.75 59.23 67.7 2015-09 2026-11 GCN-FP — 43.9 (2015-09-30) DCNN — 53.1 (2015-11-06) ChebyNet — 45.3 (2016-06-30) GraphSAGE — 33.8 (2017-06-07) GAT — 38.2 (2017-10-30) AdaLanczosNet — 53.8 (2019-01-06) LanczosNet — 53.2 (2019-01-06) GGNN — 44.3 (2019-03-05) Truncated Krylov — 64.64 (2019-06-05) Snowball (tanh) — 62.05 (2019-06-05) Snowball (linear + tanh) — 61.99 (2019-06-05) Snowball (linear) — 59.41 (2019-06-05) MT-GCN — 67.7 (2020-09-02) VCHN — 65.6 (2022-03-17) GCN-FP — 43.9 (2015-09-30) DCNN — 53.1 (2015-11-06) AdaLanczosNet — 53.8 (2019-01-06) Truncated Krylov — 64.64 (2019-06-05) MT-GCN — 67.7 (2020-09-02)
RankModel Accuracy PaperCodeYear
1 MT-GCN 67.7% Mutual Teaching for Graph Convolutional Networks kunzhan/MTGCN 2020
2 VCHN 65.6% View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes kunzhan/VCHN 2022
3 Truncated Krylov 64.64% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
4 Snowball (tanh) 62.05% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
5 Snowball (linear + tanh) 61.99% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 Snowball (linear) 59.41% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
7 AdaLanczosNet 53.8 ± 4.7 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
8 LanczosNet 53.2 ± 4.0 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
9 DCNN 53.1% Diffusion-Convolutional Neural Networks jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6 2015
10 ChebyNet 45.3% Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2 2016
11 GGNN 44.3% Gated Graph Convolutional Recurrent Neural Networks luanaruiz9/gated_gcrnns 2019
12 GCN-FP 43.9% Convolutional Networks on Graphs for Learning Molecular Fingerprints HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5 2015
13 GAT 38.2% Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
14 GraphSAGE 33.8% Inductive Representation Learning on Large Graphs pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17 2017
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