Alternatives and similar repositories for Graph-Neural-Networks-in-Life-Sciences

Users that are interested in Graph-Neural-Networks-in-Life-Sciences are comparing it to the libraries listed below

• AstraZeneca / awesome-drug-discovery-knowledge-graphs
  A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…
  ☆238Updated 5 months ago
• virtualramblas / awesome-deep-learning-4-life-sciences
  A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
  ☆142Updated last month
• mims-harvard / TxGNN
  TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
  ☆233Updated last year
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆89Updated 2 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• kexinhuang12345 / MolTrans
  MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
  ☆216Updated 3 years ago
• snap-stanford / multiscale-interactome
  ☆68Updated 2 years ago
• DeepRank / Deeprank-GNN
  Graph Network for protein-protein interface
  ☆120Updated last year
• OmicsML / awesome-molecule-protein-pretrain-papers
  ☆45Updated last year
• peizhenbai / DrugBAN
  Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
  ☆131Updated 2 years ago
• JhaKanchan15 / PPI_GNN
  ☆66Updated 2 years ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• futianfan / clinical-trial-outcome-prediction
  benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, p…
  ☆134Updated 4 months ago
• aced125 / AI_in_Drug_Discovery_Progress
  An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery
  ☆43Updated 6 years ago
• GIST-CSBL / DeepConv-DTI
  DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
  ☆78Updated 3 years ago
• muhaochen / seq_ppi
  This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Mu…
  ☆106Updated 2 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 5 years ago
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆89Updated 8 months ago
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆32Updated 5 years ago
• AstraZeneca / awesome-drug-pair-scoring
  Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
  ☆96Updated 3 years ago
• dengjianyuan / Survey_AI_Drug_Discovery
  ☆326Updated last year
• eugenebang / DREAMwalk
  The official code implementation for DREAMwalk in Python.
  ☆29Updated 2 years ago
• microsoft / protein-sequence-models
  ☆254Updated last year
• Rostlab / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆121Updated 5 years ago
• rolayoalarcon / MolE
  The MolE pre-training framework to learn general molecular representations from unlabeled structures
  ☆12Updated 5 months ago
• flatironinstitute / DeepFRI
  Deep functional residue identification
  ☆334Updated 2 years ago
• xnuohz / awesome-drug-discovery
  A collection of drug discovery, classification and representation learning papers with deep learning.
  ☆42Updated 3 years ago
• dhimmel / drugbank
  User-friendly extensions of the DrugBank database
  ☆193Updated 6 years ago
• zqgao22 / HIGH-PPI
  ☆92Updated 2 years ago
• lvguofeng / GNN_PPI
  Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
  ☆83Updated 3 years ago