paper-with-me

Heterogeneous Node Classification 벤치마크

Heterogeneous Node Classification on DBLP (Heterogeneous Node Classification)

11개 결과 · ⬇ CSV · JSON

Macro-F1

78.55 82.72 86.89 91.06 95.23 2016-09 2026-11 GCN — 90.84 (2016-09-09) RGCN — 91.52 (2017-03-17) GTN — 93.52 (2019-11-06) HetSANN — 78.55 (2019-12-19) HGT — 93.01 (2020-03-03) NARS — 94.18 (2020-11-19) Simple-HGN — 94.01 (2021-12-30) RpHGNN — 95.23 (2023-10-23) SlotGAT — 94.95 (2024-05-03) GCN — 90.84 (2016-09-09) RGCN — 91.52 (2017-03-17) GTN — 93.52 (2019-11-06) NARS — 94.18 (2020-11-19) RpHGNN — 95.23 (2023-10-23)
RankModel Macro-F1Micro-F1Macro-F1 PaperCodeYear
1 RpHGNN 95.2395.55– Efficient Heterogeneous Graph Learning via Random Projection CrawlScript/RpHGNN 2023
2 SlotGAT 94.9595.31– SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network scottjiao/slotgat_icml23 2024
3 NARS 94.1894.61– Scalable Graph Neural Networks for Heterogeneous Graphs facebookresearch/NARS 2020
4 Simple-HGN 94.0194.46– Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks thudm/hgb · calderkatyal/CPSC483FinalProject 2021
5 GTN 93.5293.97– Graph Transformer Networks seongjunyun/Graph_Transformer_Networks 2019
6 HGT 93.0193.49– Heterogeneous Graph Transformer dmlc/dgl · acbull/pyHGT · acbull/pyHGT · +1 2020
7 RGCN 91.5292.07– Modeling Relational Data with Graph Convolutional Networks dmlc/dgl · dmlc/dgl · dmlc/dgl · +24 2017
8 GCN 90.8491.47– Semi-Supervised Classification with Graph Convolutional Networks dmlc/dgl · dmlc/dgl · tkipf/gcn · +52 2016
9 HetSANN 78.5580.56– An Attention-based Graph Neural Network for Heterogeneous Structural Learning didi/hetsann 2019
10 SeHGNN –95.2494.86 Simple and Efficient Heterogeneous Graph Neural Network ict-gimlab/sehgnn · ICT-GIMLab/SeHGNN 2022
11 GAT –93.3993.83 Graph Attention Networks labmlai/annotated_deep_learning_paper_implementations · dmlc/dgl · dmlc/dgl · +90 2017
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