Alternatives and similar repositories for ProteinGCN:

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

• fouticus / pipgcn
  Protein Interface Prediction using Graph Convolutional Networks
  ☆92Updated 4 years ago
• baldassarreFe / graphqa
  Protein quality assessment using Graph Convolutional Networks
  ☆28Updated 2 years ago
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆55Updated 5 years ago
• edvardlindelof / graph-neural-networks-for-drug-discovery
  ☆96Updated 4 years ago
• mufeili / DL4MolecularGraph
  Literature of deep learning for graphs in Chemistry and Biology
  ☆198Updated 4 years ago
• FangpingWan / NeoDTI
  NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
  ☆76Updated 3 years ago
• simonfqy / PADME
  This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…
  ☆42Updated 5 years ago
• SeongokRyu / augmented-GCN
  ☆58Updated 6 years ago
• masashitsubaki / CPI_prediction
  This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …
  ☆161Updated 4 years ago
• yvquanli / TrimNet
  Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
  ☆52Updated last year
• 595693085 / DGraphDTA
  a novel DTA predition method using graph neural network
  ☆73Updated last year
• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆168Updated 6 years ago
• XuhanLiu / NGFP
  PyTorch-based Neural Graph Fingerprint for Organic Molecule Representations
  ☆27Updated 4 years ago
• divelab / MoleculeX
  ☆165Updated 3 years ago
• nyu-dl / dl4chem-mgm
  ☆68Updated 2 years ago
• jingraham / neurips19-graph-protein-design
  Generative Models for Graph-Based Protein Design
  ☆272Updated 4 years 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 5 years ago
• jaechanglim / GNN_DTI
  ☆66Updated 4 years ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆128Updated 6 months ago
• insilicomedicine / BiAAE
  Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
  ☆53Updated 4 years ago
• Shen-Lab / DeepAffinity
  Protein-compound affinity prediction through unified RNN-CNN
  ☆142Updated 8 months ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆134Updated 2 years ago
• GIST-CSBL / DeepConv-DTI
  DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
  ☆74Updated 3 years ago
• OpenDrugAI / AttentiveFP
  ☆179Updated 2 years ago
• marcopodda / fragment-based-dgm
  Code for the paper "A Deep Generative Model for Fragment-Based Molecule Generation" (AISTATS 2020)
  ☆66Updated 2 years ago
• baranwa2 / Struct2Graph
  A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction
  ☆60Updated 3 years ago
• ardigen / MAT
  The official implementation of the Molecule Attention Transformer.
  ☆243Updated 4 years ago
• XuanLin1991 / DeepGS
  DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)
  ☆26Updated 4 years ago
• deepchem / moleculenet
  Moleculenet.ai Datasets And Splits
  ☆96Updated 3 years ago
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 2 years ago