FormulaNet
Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Miscellaneous4 results
- Classification Accuracy· 2017-09-28SOTA0.9
- Classification Accuracy· 2017-09-28SOTA0.903best: 0.916 (MPNN-DagLSTM)
- Classification Accuracy· 2017-09-28SOTA0.9
- Classification Accuracy· 2017-09-28SOTA0.903best: 0.916 (MPNN-DagLSTM)