paper-with-me

Node Classification 벤치마크

Node Classification on CLUSTER

12개 결과 · ⬇ CSV · JSON

Accuracy

76.08 77.07 78.05 79.04 80.03 2020-03 2026-09 GatedGCN-PE — 76.08 (2020-03-02) EGT — 79.232 (2021-08-07) GPS — 77.95 (2022-05-25) ARGNP — 77.35 (2022-05-31) Exphormer — 78.22 (2023-03-10) GPTrans-Nano — 78.07 (2023-05-19) GRIT — 80.026 (2023-05-27) EIGENFORMER — 77.456 (2024-01-31) TIGT — 78.033 (2024-02-03) CKGCN — 79.003 (2024-04-21) NeuralWalker — 78.189 (2024-06-05) GatedGCN+ — 79.128 (2025-02-13) GatedGCN-PE — 76.08 (2020-03-02) EGT — 79.232 (2021-08-07) GRIT — 80.026 (2023-05-27)
RankModel Accuracy PaperCodeYear
1 GRIT 80.026 Graph Inductive Biases in Transformers without Message Passing liamma/grit · linusbao/MoSE 2023
2 EGT 79.232 Global Self-Attention as a Replacement for Graph Convolution shamim-hussain/egt_pytorch · shamim-hussain/egt · shamim-hussain/egt_triangular 2021
3 GatedGCN+ 79.128 ± 0.235 Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence LUOyk1999/GNNPlus 2025
4 CKGCN 79.003 CKGConv: General Graph Convolution with Continuous Kernels networkslab/ckgconv 2024
5 Exphormer 78.22±0.045 Exphormer: Sparse Transformers for Graphs hamed1375/exphormer 2023
6 NeuralWalker 78.189 ± 0.188 Learning Long Range Dependencies on Graphs via Random Walks borgwardtlab/neuralwalker 2024
7 GPTrans-Nano 78.07 Graph Propagation Transformer for Graph Representation Learning czczup/gptrans 2023
8 TIGT 78.033 Topology-Informed Graph Transformer leemingo/tigt · leemingo/cy2mixer 2024
9 GPS 77.95 Recipe for a General, Powerful, Scalable Graph Transformer rampasek/GraphGPS · hamed1375/exphormer · graphcore/ogb-lsc-pcqm4mv2 · +1 2022
10 EIGENFORMER 77.456 Graph Transformers without Positional Encodings 2024
11 ARGNP 77.35 Automatic Relation-aware Graph Network Proliferation phython96/ARGNP 2022
12 GatedGCN-PE 76.08 Benchmarking Graph Neural Networks graphdeeplearning/benchmarking-gnns · PaddlePaddle/PGL · PaddlePaddle/PGL · +12 2020
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