Alternatives and similar repositories for LaGAT

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

• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆89Updated 4 years ago
• DongWenMin / RANEDDI
  ☆10Updated 3 years ago
• Haiyang-W / DTI-GAT
  Drug-Target Interaction Prediction with GraphAttention networks
  ☆18Updated 5 years ago
• fuhaitao95 / MVGCN
  MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.
  ☆22Updated 3 years ago
• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆44Updated 3 years ago
• xzenglab / KG-MTL
  Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
  ☆28Updated 3 years ago
• MedicineBiology-AI / EEG-DTI
  An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction
  ☆30Updated 3 years ago
• YifanDengWHU / DDIMDL
  ☆78Updated last year
• chenyujie1127 / MUFFIN_publish
  "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".
  ☆12Updated 3 years ago
• xzenglab / MUFFIN
  ☆25Updated 3 years ago
• gu-yaowen / MilGNet
  MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
  ☆15Updated 9 months ago
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆55Updated 2 years ago
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆28Updated 2 years ago
• microsoft / Drug-Interaction-Research
  ☆89Updated 2 years ago
• yueyu1030 / SumGNN
  [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…
  ☆87Updated last year
• kanz76 / SSI-DDI
  ☆29Updated 4 years ago
• 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
• TheWall9 / DRHGCN
  ☆11Updated 4 years ago
• mustafaCoskunAgu / SiGraC
  ☆19Updated 2 years ago
• Fangyinfff / KCL
  Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
  ☆90Updated last year
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆29Updated 3 years ago
• gu-yaowen / REDDA
  REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
  ☆18Updated 10 months ago
• kanz76 / GMPNN-CS
  ☆27Updated last year
• ahu-bioinf-lab / AMGDTI
  A Network Integration Approach for Drug-Target Interaction Prediction
  ☆13Updated 5 months ago
• tticoin / DESC_MOL-DDIE
  Implementation of Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature
  ☆40Updated 4 years ago
• Zhankun-Xiong / MRCGNN
  Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…
  ☆17Updated 6 months ago
• stevejobws / HINGRL
  ☆11Updated 3 years ago
• zch42 / BiFusion
  ☆34Updated 4 years ago
• AshleyHan / SmileGNN
  ☆14Updated 3 years ago
• zty2009 / GCN-DNN
  ☆14Updated 5 years ago