ZINC
Canonical10papers using it
2022first seen
Dataset Card for ZINC Dataset Summary The ZINC dataset is a "curated collection of commercially available chemical compounds prepared especially for virtual screening" (Wikipedia). Supported Tasks and Leaderboards ZINC should be used for molecular property prediction (aiming to predict the constrained solubility of the
Papers using ZINC (10)
- A Reinforcement Learning-Driven Transformer GAN for Molecular GenerationTransformers for molecular property prediction: Domain adaptation efficiently improves performancePretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph GenerationSubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False PositiveEquivariant Matrix Function Neural NetworksExpressivity and Generalization: Fragment-Biases for Molecular GNNsSemi-Supervised Junction Tree Variational Autoencoder for Molecular
Property Predictiont-SMILES: A Scalable Fragment-based Molecular Representation Framework
for De Novo Molecule GenerationMachine learning for the prediction of safe and biologically active
organophosphorus moleculesGeoScatt-GNN: A Geometric Scattering Transform-Based Graph Neural
Network Model for Ames Mutagenicity Prediction