Alternatives and similar repositories for GNN-SubNet:

Users that are interested in GNN-SubNet are comparing it to the libraries listed below

• zhchs / Disease-Prediction-via-GCN
  A simple implementation of the paper "Disease Prediction via Graph Neural Networks".
  ☆22Updated 4 years ago
• vandijklab / scGAT
  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
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆17Updated last year
• nealgravindra / self-supervsed_edge_feats
  code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>
  ☆23Updated 4 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• snap-stanford / multiscale-interactome
  ☆66Updated last year
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆65Updated 4 years ago
• LPioL / MultiVERSE
  ☆20Updated 4 years ago
• Barabasi-Lab / COVID-19
  Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
  ☆27Updated 4 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆144Updated 9 months ago
• codeKgu / BiLevel-Graph-Neural-Network
  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
  ☆29Updated 4 years ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated 10 months ago
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆27Updated 3 years ago
• ChengF-Lab / deepDR
  ☆56Updated 5 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆21Updated 3 years ago
• xypan1232 / DimiG
  Inferring disease-associated miRNAs
  ☆10Updated 5 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆45Updated 4 years ago
• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆152Updated 2 years ago
• zch42 / BiFusion
  ☆34Updated 4 years ago
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆22Updated 2 years ago
• AstraZeneca / kgem-in-drug-discovery
  Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…
  ☆33Updated last week
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆34Updated 3 years ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago
• mustafaCoskunAgu / SiGraC
  ☆19Updated last year
• RicardoRamirez2020 / GCN_Cancer
  ☆23Updated 4 years ago
• bioinfomaticsCSU / MBiRW
  ☆23Updated 8 years ago
• MedicineBiology-AI / EEG-DTI
  An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction
  ☆30Updated 2 years ago
• NYXFLOWER / TIP
  TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
  ☆24Updated 2 years ago
• XC-NCTR / AnimalGAN
  A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology Assessment
  ☆8Updated last year
• tongli1210 / BreastCancerSurvivalIntegration
  ☆9Updated 5 years ago