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Xiang, Yan's Projects

alms icon alms

Active Learning Molecular Simulation Platform.

chemicalx icon chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

chemprop icon chemprop

Message Passing Neural Networks for Molecule Property Prediction

descriptastorus icon descriptastorus

Descriptor computation(chemistry) and (optional) storage for machine learning

graphgps icon graphgps

Recipe for a General, Powerful, Scalable Graph Transformer

grover icon grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

molalkit icon molalkit

Benchmark for molecular active learning.

molclr icon molclr

Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

moleculargnn_smiles icon moleculargnn_smiles

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

molgpka icon molgpka

The graph-convolutional neural network for pka prediction

nequip icon nequip

NequIP is a code for building E(3)-equivariant interatomic potentials

rdchiral icon rdchiral

Wrapper for RDKit's RunReactants to improve stereochemistry handling

reinvent4 icon reinvent4

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

rogi icon rogi

Measures of roughness for molecular property landscapes

rxntools icon rxntools

Python package for handling chemical reactions based on RDKit.

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