paper-with-me

Node Classification 벤치마크

Node Classification on Squirrel (48%/32%/20% fixed splits)

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Accuracy

39.19 42.14 45.1 48.05 51.01 2022-11 2026-11 GREAD-BS — 51.01 (2022-11-25) GNNMoE(GCN-like P) — 44.02 (2024-12-11) GNNMoE(SAGE-like P) — 39.19 (2024-12-11) GNNMoE(GAT-like P) — 39.19 (2024-12-11) GREAD-BS — 51.01 (2022-11-25)
RankModel Accuracy PaperCodeYear
1 GREAD-BS 51.01 GREAD: Graph Neural Reaction-Diffusion Networks jeongwhanchoi/gread 2022
2 GNNMoE(GCN-like P) 44.02±2.59 Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification GISec-Team/GNNMoE 2024
3 GNNMoE(SAGE-like P) 39.19±2.84 Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification GISec-Team/GNNMoE 2024
4 GNNMoE(GAT-like P) 39.19±3.94 Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification GISec-Team/GNNMoE 2024
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