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Models/Simple-HGN

Simple-HGN

Reported on 10 benchmarks across 2 tasks · 2 papers · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs8 results

Node ClassificationonIMDB (Heterogeneous Node Classification)
Macro-F1· 2021-12-30
63.53
best: 67.53 (RpHGNN)
SOTA
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonIMDB (Heterogeneous Node Classification)
Micro-F1· 2021-12-30
67.36
best: 69.77 (RpHGNN)
SOTA
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonFreebase (Heterogeneous Node Classification)
Micro-F1· 2021-12-30
66.29
best: 66.83 (SlotGAT)
SOTA
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonACM (Heterogeneous Node Classification)
Macro-F1· 2021-12-30
93.42
best: 94.09 (RpHGNN)
SOTA
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonACM (Heterogeneous Node Classification)
Micro-F1· 2021-12-30
93.35
best: 94.06 (SlotGAT)
SOTA
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonFreebase (Heterogeneous Node Classification)
Macro-F1· 2021-12-30
47.72
best: 54.02 (RpHGNN)
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonDBLP (Heterogeneous Node Classification)
Macro-F1· 2021-12-30
94.01
best: 95.23 (RpHGNN)
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936
Node ClassificationonDBLP (Heterogeneous Node Classification)
Micro-F1· 2021-12-30
94.46
best: 95.55 (RpHGNN)
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks arXiv:2112.14936

Natural Language Processing2 results

Stance DetectiononMGTAB
Acc· 2023-01-03
85.3
best: 87.8 (RGT)
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark arXiv:2301.01123
Stance DetectiononMGTAB
F1· 2023-01-03
84.4
best: 86.9 (RGT)
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark arXiv:2301.01123