gnn4dr / DRKG
A knowledge graph and a set of tools for drug repurposing
☆630Updated 3 years ago
Alternatives and similar repositories for DRKG
Users that are interested in DRKG are comparing it to the libraries listed below
Sorting:
- A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…☆226Updated last month
- Hetionet: an integrative network of disease☆285Updated 2 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆151Updated last year
- Precision Medicine Knowledge Graph (PrimeKG)☆537Updated 11 months ago
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆227Updated 5 years ago
- Python package for graph neural networks in chemistry and biology☆751Updated last year
- Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported f…☆486Updated 2 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,301Updated last year
- Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science☆1,085Updated 3 weeks ago
- Graph convolutional neural network for multirelational link prediction☆457Updated 2 years ago
- A Knowledge Graph for Relational Learning On Biological Data☆96Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,006Updated last year
- A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)☆1,036Updated 11 months ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆90Updated 5 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆210Updated last year
- A Network Integration Approach for Drug-Target Interaction Prediction☆180Updated 2 years ago
- ☆216Updated 2 years ago
- [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models☆522Updated last year
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆85Updated 9 months ago
- Source code of Graph-Bert☆491Updated last year
- LibKGE - A knowledge graph embedding library for reproducible research☆805Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆194Updated 4 years ago
- GraphDTA: Predicting drug-target binding affinity with graph neural networks☆249Updated 4 years ago
- A powerful and flexible machine learning platform for drug discovery☆1,498Updated 9 months ago
- This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data☆346Updated 3 years ago
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆196Updated last year
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆88Updated 4 years ago
- User-friendly extensions of the DrugBank database☆187Updated 5 years ago
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆147Updated 2 months ago
- Inductive relation prediction by subgraph reasoning, ICML'20☆238Updated 9 months ago