paper-with-me

Node Classification 벤치마크

Node Classification on PubMed (0.03%)

14개 결과 · ⬇ CSV · JSON

Accuracy

45.3 51.92 58.55 65.17 71.8 2015-09 2026-09 GCN-FP — 56.2 (2015-09-30) DCNN — 60.9 (2015-11-06) GGNN — 55.8 (2015-11-17) ChebyNet — 45.3 (2016-06-30) GraphSAGE — 45.4 (2017-06-07) GAT — 50.9 (2017-10-30) AdaLanczosNet — 61.0 (2019-01-06) LanczosNet — 60.4 (2019-01-06) Truncated Krylov — 71.11 (2019-06-05) Snowball (linear) — 68.12 (2019-06-05) Snowball (tanh) — 62.61 (2019-06-05) Snowball (linear + tanh) — 61.94 (2019-06-05) MT-GCN — 65.5 (2020-09-02) VCHN — 71.8 (2022-03-17) GCN-FP — 56.2 (2015-09-30) DCNN — 60.9 (2015-11-06) AdaLanczosNet — 61.0 (2019-01-06) Truncated Krylov — 71.11 (2019-06-05) VCHN — 71.8 (2022-03-17)
RankModel Accuracy PaperCodeYear
1 VCHN 71.8% View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes kunzhan/VCHN 2022
2 Truncated Krylov 71.11% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
3 Snowball (linear) 68.12% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
4 MT-GCN 65.5% Mutual Teaching for Graph Convolutional Networks kunzhan/MTGCN 2020
5 Snowball (tanh) 62.61% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
6 Snowball (linear + tanh) 61.94% Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks PwnerHarry/Stronger_GCN 2019
7 AdaLanczosNet 61% LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
8 DCNN 60.9% Diffusion-Convolutional Neural Networks jcatw/dcnn · RicardoZiTseng/dcnn-tensorflow · MindSpore-paper-code-3/code6 2015
9 LanczosNet 60.4 ± 8.6 LanczosNet: Multi-Scale Deep Graph Convolutional Networks lrjconan/LanczosNetwork 2019
10 GCN-FP 56.2% Convolutional Networks on Graphs for Learning Molecular Fingerprints HIPS/neural-fingerprint · debbiemarkslab/neural-fingerprint-theano · nrel/m2p · +5 2015
11 GGNN 55.8% Gated Graph Sequence Neural Networks dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 2015
12 GAT 50.9% Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
13 GraphSAGE 45.4% Inductive Representation Learning on Large Graphs pyg-team/pytorch_geometric · dmlc/dgl · dmlc/dgl · +17 2017
14 ChebyNet 45.3% Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering mdeff/cnn_graph · hazdzz/ChebyNet · selmiss/gp-tlstgcn · +2 2016
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