Alternatives and similar repositories for scCDCG

Users that are interested in scCDCG are comparing it to the libraries listed below

• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• Mickey-Stone / GAEMDA
  A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction
  ☆22Updated 2 years ago
• xinliangSun / AdaDR
  Drug repositioning with adaptive graph convolutional networks
  ☆15Updated 8 months ago
• HelloWorldLTY / MuSe-GNN
  [NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"
  ☆30Updated 11 months ago
• Joye9285 / scGAC
  single-cell graph attentional clustering
  ☆12Updated 3 years ago
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆22Updated 2 years ago
• sheng-n / lncRNA-disease-methods
  ☆20Updated last year
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆159Updated last year
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆23Updated last year
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆17Updated 8 months ago
• OmicsML / dance
  DANCE: a deep learning library and benchmark platform for single-cell analysis
  ☆361Updated last week
• jsxlei / scCLIP
  ☆29Updated last year
• yueyu1030 / SumGNN
  [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…
  ☆86Updated 10 months ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆62Updated 2 years ago
• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆152Updated 3 years ago
• PharMolix / LangCell
  Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".
  ☆59Updated 5 months ago
• ma-compbio / Hyper-SAGNN
  hypergraph representation learning, graph neural network
  ☆97Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆195Updated 5 months ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆145Updated 10 months ago
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆54Updated 2 years ago
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆27Updated 3 years ago
• txWang / MOGONET
  MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…
  ☆161Updated 4 years ago
• Blair1213 / TREE
  Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning
  ☆19Updated 2 months ago
• longyahui / PT-GNN
  ☆13Updated 2 years ago
• junxia97 / SimGRACE
  [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
  ☆80Updated 2 years ago
• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆88Updated 4 years ago
• ICT-GIMLab / SeHGNN
  ☆113Updated last year
• zpliulab / GENELink
  ☆31Updated 2 years ago
• yhr91 / GEARS_misc
  ☆20Updated 7 months ago
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago