Hyper-SAGNN-W

Reported on 6 benchmarks across 1 task · 1 paper · 3 SOTA

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

Graphs6 results

Link PredictiononWordNet
AUPR· 2019-11-06
0.706
SOTA
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613
Link PredictiononMovieLens 1M
AUC· 2019-11-06
0.93
SOTA
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613
Link PredictiononMovieLens 1M
AUPR· 2019-11-06
0.81
SOTA
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613
Link PredictiononWordNet
AUC· 2019-11-06
0.88
best: 0.89 (Hyper-SAGNN-E)
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613
Link PredictiononGPS
AUC· 2019-11-06
0.922
best: 0.9520000000000001 (Hyper-SAGNN-E)
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613
Link PredictiononGPS
AUPR· 2019-11-06
0.722
best: 0.7979999999999999 (Hyper-SAGNN-E)
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs arXiv:1911.02613