xzenglab / resources-for-DDIs-prediction-using-DLLinks
related to graph and deep Learning for drug-drug interactions prediction.
☆29Updated 2 years ago
Alternatives and similar repositories for resources-for-DDIs-prediction-using-DL
Users that are interested in resources-for-DDIs-prediction-using-DL are comparing it to the libraries listed below
Sorting:
- ☆30Updated 4 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- ☆25Updated 4 years ago
- ☆80Updated last year
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆92Updated 4 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]☆19Updated 2 years ago
- ☆29Updated last year
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning. Nature Communications (Medicine).☆21Updated last year
- ☆93Updated 2 years ago
- A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.☆21Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".☆13Updated 3 years ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆117Updated last year
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Updated 2 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆133Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- ☆14Updated 2 years ago
- ☆23Updated 2 years ago
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆15Updated 11 months ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆19Updated last year
- ☆14Updated 3 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- ☆27Updated last year
- ☆14Updated 5 years ago
- ☆33Updated 4 years ago
- ☆11Updated 4 years ago
- This repository contains a PyTorch implementation of the paper "Hierarchical Graph Representation Learning for the Prediction of Drug-Tar…☆12Updated 3 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago