pievos101 / GNN-SubNet
Disease subnetwork detection with explainable Graph Neural Networks
☆21Updated 4 months ago
Related projects: ⓘ
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆24Updated 2 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆61Updated 4 years ago
- ☆8Updated 4 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- ☆50Updated 5 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆132Updated last month
- code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>☆23Updated 3 years ago
- "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022☆19Updated last year
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆28Updated 3 years ago
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…☆30Updated last month
- ☆32Updated 3 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆23Updated 3 years ago
- ☆18Updated last year
- ☆22Updated 2 years ago
- ☆16Updated 2 years ago
- Inferring disease-associated miRNAs☆10Updated 4 years ago
- ☆62Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆41Updated 2 years ago
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆62Updated 4 months ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆27Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆81Updated last month
- single-cell graph attentional clustering☆11Updated 2 years ago
- single-cell graph autoencoder☆21Updated 2 years ago
- ☆24Updated 7 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 2 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆30Updated 3 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆27Updated last year
- Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)☆10Updated 4 years ago
- A deep-learning framework for multi-omics integration☆22Updated last year