HamidHadipour / GraphBAN
☆18Updated 2 weeks ago
Alternatives and similar repositories for GraphBAN:
Users that are interested in GraphBAN are comparing it to the libraries listed below
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 3 years ago
- ☆36Updated 11 months ago
- ☆26Updated last year
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆43Updated last year
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein In…☆27Updated 3 months ago
- ☆23Updated last year
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆39Updated 2 months ago
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆103Updated 10 months ago
- ☆50Updated 8 months ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆30Updated 2 years ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆66Updated last year
- a method for CPI and DTA prediction☆11Updated 2 years ago
- Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".☆22Updated 2 years ago
- ☆16Updated 6 months ago
- ☆13Updated last year
- ☆52Updated 8 months ago
- Geometry Deep Learning for Drug Discovery and Life Science☆67Updated last year
- Graph variational encoders for drug engineering and potentiation☆29Updated last year
- Code for ICML 2024 paper "Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical P…☆39Updated 7 months ago
- ☆17Updated 2 years ago
- ☆10Updated last year
- Multi-Scale Representation Learning on Proteins (NeurIPS 2021)☆46Updated last year
- Accurate prediction of drug–target interactions in drug discovery.☆10Updated 3 months ago
- Protein-protein interacting site predictor using deep graph convolutional network☆12Updated 2 years ago
- ☆23Updated last year
- G-K BertDTA is a research tool facilitating drug-target interaction prediction. Leveraging multi-modal data integration and advanced mach…☆11Updated last year
- BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions☆19Updated 4 months ago
- ☆15Updated last year
- K-BERT for molecular property prediction.☆29Updated 2 years ago