HetSANN

Reported on 6 benchmarks across 1 task · 1 paper

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

Graphs6 results

Node ClassificationonIMDB (Heterogeneous Node Classification)
Macro-F1· 2019-12-19
49.47
best: 67.53 (RpHGNN)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832
Node ClassificationonIMDB (Heterogeneous Node Classification)
Micro-F1· 2019-12-19
57.68
best: 69.77 (RpHGNN)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832
Node ClassificationonDBLP (Heterogeneous Node Classification)
Macro-F1· 2019-12-19
78.55
best: 95.23 (RpHGNN)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832
Node ClassificationonDBLP (Heterogeneous Node Classification)
Micro-F1· 2019-12-19
80.56
best: 95.55 (RpHGNN)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832
Node ClassificationonACM (Heterogeneous Node Classification)
Macro-F1· 2019-12-19
90.02
best: 94.09 (RpHGNN)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832
Node ClassificationonACM (Heterogeneous Node Classification)
Micro-F1· 2019-12-19
89.91
best: 94.06 (SlotGAT)
An Attention-based Graph Neural Network for Heterogeneous Structural Learning arXiv:1912.10832