PietroMSB / DrugSideEffectsLinks
Project for the prediction of drug side-effect occurrences in the general population with Graph Neural Networks.
☆10Updated last year
Alternatives and similar repositories for DrugSideEffects
Users that are interested in DrugSideEffects are comparing it to the libraries listed below
Sorting:
- The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".☆49Updated last year
- ☆29Updated 2 years ago
- ☆40Updated last year
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆120Updated last year
- Drug-Target Interactive Prediction Model using ChemBERTa and ProtBert☆16Updated last year
- Geometry Deep Learning for Drug Discovery and Life Science☆71Updated last year
- Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".☆22Updated 3 years ago
- ☆47Updated 2 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated last year
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆46Updated 2 years ago
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆171Updated 2 years ago
- Code for "HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention"☆52Updated 3 years ago
- structure-based explanation methods☆28Updated last year
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆128Updated 2 years ago
- pre-training BERT with molecular data☆50Updated 4 years ago
- MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…☆20Updated 2 years ago
- K-BERT for molecular property prediction.☆31Updated 3 years ago
- ☆27Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- Molecular Hypergraph Neural Network☆43Updated 5 months ago
- ☆64Updated 4 years ago
- Working collection of papers, repos and models of transformer based language models trained or tuned for the Chemical domain, from natura…☆68Updated 2 years ago
- GPCNDTA: prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores☆17Updated 11 months ago
- ☆58Updated last year
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆122Updated last week
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆70Updated last year
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆25Updated last year
- ☆20Updated 11 months ago
- A simple molecule fragmentation method.☆40Updated 2 years ago
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆44Updated 4 years ago