gnn4dr / DRKGLinks
A knowledge graph and a set of tools for drug repurposing
☆646Updated 3 years ago
Alternatives and similar repositories for DRKG
Users that are interested in DRKG are comparing it to the libraries listed below
Sorting:
- Precision Medicine Knowledge Graph (PrimeKG)☆579Updated last year
- Hetionet: an integrative network of disease☆292Updated 2 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆152Updated last year
- Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported f…☆497Updated 2 years ago
- A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…☆231Updated last month
- Graph convolutional neural network for multirelational link prediction☆457Updated 2 years ago
- A Knowledge Graph for Relational Learning On Biological Data☆101Updated last year
- A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)☆1,064Updated last year
- Python package for graph neural networks in chemistry and biology☆760Updated last year
- Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science☆1,118Updated 2 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,309Updated last year
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆227Updated 5 years ago
- A Network Integration Approach for Drug-Target Interaction Prediction☆181Updated 2 years ago
- GraphDTA: Predicting drug-target binding affinity with graph neural networks☆258Updated 4 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆86Updated 11 months ago
- Strategies for Pre-training Graph Neural Networks☆1,022Updated last year
- ☆76Updated 11 months ago
- [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models☆528Updated 2 years ago
- User-friendly extensions of the DrugBank database☆188Updated 6 years ago
- LibKGE - A knowledge graph embedding library for reproducible research☆813Updated last year
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆88Updated 4 years ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆93Updated 5 years ago
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆213Updated last year
- Source code of Graph-Bert☆496Updated last year
- This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data☆355Updated 3 weeks ago
- A powerful and flexible machine learning platform for drug discovery☆1,515Updated 11 months ago
- ☆216Updated 2 years ago
- ☆1,327Updated last year
- ☆56Updated 4 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆217Updated last year