paper-with-me

Node Classification 벤치마크

Node Classification on COCO-SP

19개 결과 · ⬇ CSV · JSON

macro F1

0.0841 0.173 0.262 0.3509 0.4398 2020-07 2026-09 GCNII — 0.1404 (2020-07-04) GPS — 0.3412 (2022-05-25) GatedGCN — 0.2641 (2022-06-16) Transformer+LapPE — 0.2618 (2022-06-16) SAN+LapPE — 0.2592 (2022-06-16) GatedGCN+LapPE — 0.2574 (2022-06-16) SAN+RWSE — 0.2434 (2022-06-16) GINE — 0.1339 (2022-06-16) GCN — 0.0841 (2022-06-16) Exphormer — 0.343 (2023-03-10) GPS-tuned — 0.3884 (2023-09-01) GatedGCN-tuned — 0.2922 (2023-09-01) GINE-tuned — 0.2125 (2023-09-01) GCN-tuned — 0.1338 (2023-09-01) NeuralWalker — 0.4398 (2024-06-05) GatedGCN-HSG — 0.3535 (2024-06-22) GatedGCN+ — 0.3802 (2025-02-13) IM-GatedGCN — 0.3501 (2025-05-29) IM-GCN — 0.196 (2025-05-29) GCNII — 0.1404 (2020-07-04) GPS — 0.3412 (2022-05-25) Exphormer — 0.343 (2023-03-10) GPS-tuned — 0.3884 (2023-09-01) NeuralWalker — 0.4398 (2024-06-05)
RankModel macro F1 PaperCodeYear
1 NeuralWalker 0.4398 ± 0.0033 Learning Long Range Dependencies on Graphs via Random Walks borgwardtlab/neuralwalker 2024
2 GPS-tuned 0.3884±0.0055 Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark toenshoff/lrgb · Fedzbar/laser-release 2023
3 GatedGCN+ 0.3802 ± 0.0015 Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence LUOyk1999/GNNPlus 2025
4 GatedGCN-HSG 0.3535±0.0032 Next Level Message-Passing with Hierarchical Support Graphs carlosinator/support-graphs 2024
5 IM-GatedGCN 0.3501 ± 0.0061 Improving the Effective Receptive Field of Message-Passing Neural Networks bgu-cs-vil/im-mpnn 2025
6 Exphormer 0.343±0.0008 Exphormer: Sparse Transformers for Graphs hamed1375/exphormer 2023
7 GPS 0.3412±0.0044 Recipe for a General, Powerful, Scalable Graph Transformer rampasek/GraphGPS · hamed1375/exphormer · graphcore/ogb-lsc-pcqm4mv2 · +1 2022
8 GatedGCN-tuned 0.2922±0.0018 Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark toenshoff/lrgb · Fedzbar/laser-release 2023
9 GatedGCN 0.2641±0.0045 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
10 Transformer+LapPE 0.2618±0.0031 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
11 SAN+LapPE 0.2592±0.0158 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
12 GatedGCN+LapPE 0.2574±0.0034 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
13 SAN+RWSE 0.2434±0.0156 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
14 GINE-tuned 0.2125±0.0009 Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark toenshoff/lrgb · Fedzbar/laser-release 2023
15 IM-GCN 0.1960 ± 0.0023 Improving the Effective Receptive Field of Message-Passing Neural Networks bgu-cs-vil/im-mpnn 2025
16 GCNII 0.1404±0.0011 Simple and Deep Graph Convolutional Networks chennnM/GCNII · chennnM/GCNII · zhanglab-aim/cancer-net · +1 2020
17 GINE 0.1339±0.0044 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
18 GCN-tuned 0.1338±0.0007 Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark toenshoff/lrgb · Fedzbar/laser-release 2023
19 GCN 0.0841±0.0010 Long Range Graph Benchmark vijaydwivedi75/lrgb · zml72062/dr-fwl-2 2022
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