Comments (3)
Hi! G2Gs is reproducible. Please refer to the results here https://torchdrug.ai/docs/benchmark/retrosynthesis.html
In the tutorial, we reduce the computation cost for fast demonstration. If you want to reproduce the result, you need to use at least 100 and 50 epochs for training center identification and synthon completion respectively. You also need to spend much more budget for beam search, like center_topk=3, num_synthon_beam=10, max_prediction=20
.
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Thanks for the help! Will try it!
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Hi! @chaoyan1037 have you eventually tried to reproduce it? And if yes have you obtained the desired results? I'm asking because personally I faced an obstacle:)
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Related Issues (20)
- Issue converting PDB file to torchdrug.data.PackedProtein / Protein HOT 1
- Passing CIF file directly into TorchDrug Protein?
- To load huge dataset, and train the model
- example for tasks.MultipleBinaryClassification HOT 2
- Statistics and data splitting scheme on PPI datasets HOT 2
- Nan error while using GraphAF to optimize QED
- Small issue in atom2valence dictionary iteration in `Molecule.is_valid`
- torchdrug.patch.py breaks use of ConcatDataset HOT 1
- [Note] Dead lock when running `layers.GraphIsomorphismConv` (issue located in `sparse_coo_tensor`)
- graph with global features, and mydataset
- atom_feature="symbol" is only available for class GCPNGeneration() ? HOT 1
- class Molecule(Graph), definition of "self.atom2valence"
- TypeError during validation
- Segmentation fault HOT 1
- issues with reproducing pLogP benchmark for GPCN
- subprocess.CalledProcessError: Command '['c++', '-v']' returned non-zero exit status 1. HOT 1
- Impossible to reproduce pretrain tutorial
- ESM, max length issues using ESM-gearnet-serial model HOT 2
- Incompatible with huggingface transformers?
- Quick Start problem. RuntimeError: Error building extension 'torch_ext'
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