rezacsedu / Drug-Drug-Interaction-PredictionView external linksLinks
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
☆98Oct 9, 2019Updated 6 years ago
Alternatives and similar repositories for Drug-Drug-Interaction-Prediction
Users that are interested in Drug-Drug-Interaction-Prediction are comparing it to the libraries listed below
Sorting:
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆93Feb 11, 2021Updated 5 years ago
- Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity☆29Apr 4, 2021Updated 4 years ago
- ☆16Sep 5, 2023Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆88Jul 25, 2024Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Dec 13, 2021Updated 4 years ago
- ☆14Jun 22, 2022Updated 3 years ago
- ☆17Aug 31, 2022Updated 3 years ago
- BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions☆20Dec 25, 2024Updated last year
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Oct 6, 2020Updated 5 years ago
- ☆32Jun 17, 2021Updated 4 years ago
- Analysis notebooks and database interaction scripts for the nsides project☆19Sep 13, 2024Updated last year
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Mar 18, 2024Updated last year
- Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.☆17Oct 2, 2021Updated 4 years ago
- ☆81Aug 2, 2024Updated last year
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆17May 15, 2022Updated 3 years ago
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences☆78Feb 14, 2022Updated 4 years ago
- Keras implementation of path-based link prediction model for knowledge graph completion☆24Aug 29, 2022Updated 3 years ago
- DeepDrug: A general graph-based deep learning framework for drug relation prediction☆62Jul 25, 2022Updated 3 years ago
- The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology (DIDEO)☆15Oct 25, 2023Updated 2 years ago
- Implementation of Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature☆40Mar 3, 2021Updated 4 years ago
- ☆58Nov 15, 2020Updated 5 years ago
- An official Molecule Transformer Drug Target Interaction (MT-DTI) model☆35Nov 6, 2020Updated 5 years ago
- A knowledge graph and a set of tools for drug repurposing☆670Apr 19, 2022Updated 3 years ago
- ☆24Aug 7, 2023Updated 2 years ago
- ☆11Jun 4, 2021Updated 4 years ago
- ☆10Jul 23, 2020Updated 5 years ago
- the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism…☆11Apr 7, 2022Updated 3 years ago
- Binding Affinity Prediction using Deep learning models☆12Jun 9, 2021Updated 4 years ago
- Data-driven chemical-induced toxicity prediction by machine learning using chemical and bioactivity data☆10Feb 7, 2017Updated 9 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆25Oct 28, 2020Updated 5 years ago
- Drug-Target Interaction Prediction with GraphAttention networks☆20May 7, 2020Updated 5 years ago
- Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion☆28May 23, 2023Updated 2 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Jul 9, 2022Updated 3 years ago
- Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)☆15Oct 27, 2023Updated 2 years ago
- Re-scoring a set of docked ligands with off-the-shelf algorithms to assess utility in virtual screening☆11Oct 13, 2021Updated 4 years ago
- The objective of this work is to develop machine learning (ML) methods that can accurately predict adverse drug reactions (ADRs) using th…☆27Oct 25, 2023Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Aug 6, 2025Updated 6 months ago
- ☆27Dec 28, 2025Updated last month
- ☆29Sep 1, 2023Updated 2 years ago