Alternatives and similar repositories for SiGraC

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

• MedicineBiology-AI / EEG-DTI
  An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction
  ☆30Updated 2 years ago
• TheWall9 / DRHGCN
  ☆11Updated 3 years ago
• fuhaitao95 / MVGCN
  MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.
  ☆22Updated 2 years ago
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆27Updated 3 years ago
• JiaruiFeng / DTINet-with-python
  Realizing DTINet with python
  ☆27Updated 7 years ago
• stevejobws / HINGRL
  ☆11Updated 3 years ago
• DongWenMin / RANEDDI
  ☆10Updated 3 years ago
• gu-yaowen / REDDA
  REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
  ☆17Updated 6 months ago
• Azra3lzz / LaGAT
  ☆17Updated 2 years ago
• ljatynu / NIMCGCN
  ☆25Updated 2 years ago
• MacroHongZ / HampDTI
  A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
  ☆13Updated last year
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆54Updated 2 years ago
• fa-fa97 / DTIs-prediction-by-DeepWalk-on-DrugBank
  Drug-target interaction prediction using deepWalk node embedding algorithm on drugBank
  ☆11Updated 4 years ago
• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆44Updated 3 years ago
• xinliangSun / AdaDR
  Drug repositioning with adaptive graph convolutional networks
  ☆15Updated 8 months ago
• yangkuoone / HerGePred
  Heterogeneous disease-gene-related
  ☆18Updated 3 years ago
• xzenglab / KG-MTL
  Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
  ☆28Updated 2 years ago
• zch42 / BiFusion
  ☆34Updated 4 years ago
• a96123155 / DTI-MLCD
  Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)
  ☆12Updated 5 years ago
• lanbiolab / GANLDA
  The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”
  ☆14Updated 3 years 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
  ☆30Updated 4 years ago
• Wolverinerine / GTGenie
  Prediction of biomarker–disease associations based on graph attention network and text representation
  ☆7Updated 2 years ago
• longyahui / GCNMDA
  ☆20Updated 3 years ago
• ChengF-Lab / deepDR
  ☆56Updated 5 years ago
• NYXFLOWER / TIP
  TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
  ☆24Updated 2 years ago
• xypan1232 / DimiG
  Inferring disease-associated miRNAs
  ☆10Updated 5 years ago
• bioinfomaticsCSU / MBiRW
  ☆23Updated 8 years ago
• gu-yaowen / MilGNet
  MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
  ☆14Updated 6 months ago
• ShenggengLin / MDF-SA-DDI
  ☆23Updated last year
• lanbiolab / KGANCDA
  KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …
  ☆13Updated 2 years ago