Alternatives and similar repositories for DTI-GAT

Users that are interested in DTI-GAT are comparing it to the libraries listed below

• xzenglab / KG-MTL
  Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
  ☆28Updated 3 years ago
• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆89Updated 4 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
• Azra3lzz / LaGAT
  ☆18Updated 2 years ago
• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆44Updated 3 years ago
• YifanDengWHU / DDIMDL
  ☆77Updated last year
• zch42 / BiFusion
  ☆34Updated 4 years ago
• ShugangZhang / SAG-DTA
  The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.
  ☆11Updated 3 years ago
• DongWenMin / RANEDDI
  ☆10Updated 3 years ago
• xzenglab / MUFFIN
  ☆24Updated 3 years ago
• chenyujie1127 / MUFFIN_publish
  "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".
  ☆13Updated 3 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
• a96123155 / DTI-MLCD
  Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)
  ☆13Updated 5 years ago
• zty2009 / GCN-DNN
  ☆14Updated 5 years ago
• rezacsedu / Drug-Drug-Interaction-Prediction
  Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
  ☆94Updated 5 years ago
• microsoft / Drug-Interaction-Research
  ☆88Updated 2 years ago
• kenqgu / 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
• Zora-LM / HGAN-DTI
  ☆17Updated 2 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
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆54Updated 2 years ago
• czjczj / IIFDTI
  the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism…
  ☆11Updated 3 years ago
• JiaruiFeng / DTINet-with-python
  Realizing DTINet with python
  ☆27Updated 7 years ago
• mustafaCoskunAgu / SiGraC
  ☆19Updated 2 years ago
• kanz76 / SSI-DDI
  ☆28Updated 4 years ago
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆28Updated 3 years ago
• xinliangSun / AdaDR
  Drug repositioning with adaptive graph convolutional networks
  ☆15Updated 10 months ago
• gu-yaowen / MilGNet
  MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
  ☆15Updated 8 months 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 5 months ago
• akiyamalab / NRLMFb
  NRLMFβ: Bata-distribution-rescored Neighborhood Regularized Logistic Matrix Factorization for Improving Performance of Drug–Target Intera…
  ☆11Updated 3 years ago