Alternatives and similar repositories for GoGNN

Users that are interested in GoGNN 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
• xzenglab / KGNN
  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
  ☆89Updated 4 years ago
• xzenglab / MUFFIN
  ☆25Updated 3 years ago
• kanz76 / SSI-DDI
  ☆30Updated 4 years ago
• YifanDengWHU / DDIMDL
  ☆78Updated last year
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated 2 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆125Updated 2 years ago
• TheWall9 / DRHGCN
  ☆11Updated 4 years ago
• zty2009 / GCN-DNN
  ☆14Updated 5 years ago
• microsoft / Drug-Interaction-Research
  ☆89Updated 2 years ago
• chenyujie1127 / MUFFIN_publish
  "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".
  ☆12Updated 3 years ago
• FangpingWan / NeoDTI
  NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
  ☆77Updated 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
• JiaruiFeng / DTINet-with-python
  Realizing DTINet with python
  ☆27Updated 7 years ago
• AshleyHan / SmileGNN
  ☆14Updated 3 years ago
• storyandwine / LAGCN
  Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"
  ☆55Updated 2 years ago
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆37Updated 2 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
• jcchan23 / CoMPT
  Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"
  ☆40Updated 3 years ago
• 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
• xzenglab / KG-MTL
  Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
  ☆28Updated 3 years ago
• Zora-LM / MHGNN-DTI
  ☆20Updated last year
• NSLab-CUK / S-CGIB
  Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…
  ☆13Updated 2 months ago
• SII-ShenggengLin / MDF-SA-DDI
  ☆25Updated last year
• lihan97 / KPGT
  codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
  ☆116Updated last year
• zch42 / BiFusion
  ☆34Updated 4 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 4 years ago
• UnHans / HimGNN
  The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…
  ☆21Updated 2 years ago
• guaguabujianle / SA-DDI
  ☆21Updated 2 years ago