Alternatives and similar repositories for MDF-SA-DDI

Users that are interested in MDF-SA-DDI are comparing it to the libraries listed below

• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆44Updated 3 years ago
• kanz76 / SSI-DDI
  ☆28Updated 3 years ago
• YifanDengWHU / DDIMDL
  ☆75Updated 10 months ago
• xzenglab / MUFFIN
  ☆23Updated 3 years ago
• chenyujie1127 / MUFFIN_publish
  "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".
  ☆13Updated 3 years ago
• xzenglab / resources-for-DDIs-prediction-using-DL
  related to graph and deep Learning for drug-drug interactions prediction.
  ☆26Updated 2 years ago
• AshleyHan / SmileGNN
  ☆14Updated 2 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
• ShugangZhang / SAG-DTA
  The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.
  ☆11Updated 3 years ago
• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆88Updated 4 years ago
• microsoft / Drug-Interaction-Research
  ☆86Updated last year
• catly / SGCL-DTI
  ☆3Updated 2 years ago
• peizhenbai / DrugBAN
  Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
  ☆121Updated 2 years ago
• kanz76 / GMPNN-CS
  ☆27Updated last year
• Layne-Huang / CoaDTI
  Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2
  ☆17Updated 2 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 3 months ago
• linjc16 / R2-DDI
  [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".
  ☆13Updated last year
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated last year
• guaguabujianle / MGraphDTA
  ☆51Updated 9 months ago
• BioMedicalBigDataMiningLab / GraphCDR
  GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction
  ☆27Updated 3 years ago
• guaguabujianle / SA-DDI
  ☆19Updated last year
• lvguofeng / GNN_PPI
  Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
  ☆80Updated 3 years ago
• zch42 / BiFusion
  ☆34Updated 4 years ago
• Deshan-Zhou / MultiDTI
  ☆13Updated 4 years ago
• zty2009 / GCN-DNN
  ☆14Updated 4 years ago
• hehh77 / 3DGT-DDI
  ☆9Updated 3 years ago
• JiaruiFeng / DTINet-with-python
  Realizing DTINet with python
  ☆27Updated 7 years ago
• yuanweining / FusionDTA
  ☆18Updated last year
• violet-sto / TGSA
  PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…
  ☆24Updated 3 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆122Updated last year