chao1224 / GraphMVP

Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

https://chao1224.github.io/GraphMVP

chao1224/GraphMVP Issues

descriptastorus and scipy all updated and the code crashed
Updated 9 months ago1
A problem with replicating code
Closed 10 months ago6
only use it on 2D size
Closed 9 months ago4
Thank you for your answer!
Closed 9 months ago1
Tiny hint for future users
Closed 10 months ago1
Pre-trained models for regression tasks
Closed 10 months ago1
Documentation on how to encode and decode a molecule
Closed 10 months ago6
Pretrained Model for Classification Task
Closed a year ago4
sincerely ask for finetuning settings for Davis and Kiba datasets
Closed a year ago2
Questions about pretraining datasets
Closed a year ago2
question on the presence of hydrogen atom between pretraining phase and finetuning phase
Closed a year ago5
Experiment Settings
Closed a year ago1
the pre-trained model for Davis and Kiba data
Closed 2 years ago3
Can I get the Source code for pre-training
Closed 2 years ago1
I cannot use other gnn models in your code
Closed 2 years ago2
MoleculeProteinModel and ProteinModel classes are not founded
Closed 2 years ago1
The model type of pretrained weights?
Closed 2 years ago1
The dataset gathering seems incomplete
Closed 2 years ago2
Question about how to align dataset
Closed 2 years ago
Request to GraphMVP hyper-parameter
Closed 2 years ago7
Request to GraphMVP pre-trained weights
Closed 2 years ago3