uta-smile / RetroXpert

uta-smile/RetroXpert Issues

one question about the canonicalize_products.py
Closed 3 years ago5
graph-level reprentation in papaer didn't match the part in this dode
Updated a year ago
The model did not achieve the expected effect
Updated 2 years ago
How to use the trained model to predict the custom dataset?
Updated 2 years ago9
How to use trained model form checkpoints?
Updated 2 years ago
SMILES Parse Error
Updated 2 years ago
KeyError: 'pattern_feat' when training the EGAT model
Updated 2 years ago2
Original data
Closed 2 years ago
Checkpoint Question
Updated 2 years ago5
RuntimeError: size mismatch
Closed 3 years ago1
setup.sh to set up env
Closed 3 years ago1
Paper Retraction
Closed 3 years ago1
Will the information leakage issue affect the performance of the EGAT model?
Closed 3 years ago11
Input feature channels
Closed 3 years ago2
How to get the accuracy of the second phase?
Closed 3 years ago
Datasets without information leakage.
Closed 3 years ago2
Top-k Accuracies
Closed 3 years ago2
Script to generate canonicalized_csv files
Closed 4 years ago2
How to use canonicalize_products.py
Closed 4 years ago7
checkpoints for USPTO-full
Closed 3 years ago5
How to get the accuracy of two phases & any tips to reproduce the results close to those in paper?
Closed 4 years ago2
FileNotFoundError: [Errno 2] No such file or directory: '../../experiments/results/predictions_on_USPTO50K-aug-typed_test-prediction.txt'
Closed 4 years ago7
Need help to train the RGN model
Closed 4 years ago9
whats the correct number of semi template patterns?
Closed 4 years ago3
EGAT train.py error, size mismatch problem
Closed 4 years ago7
Any plan to release the source code?
Closed 4 years ago