Alternatives and similar repositories for graph-neural-networks

Users that are interested in graph-neural-networks are comparing it to the libraries listed below

• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆236Updated 8 years ago
• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆174Updated 7 years ago
• DeepGraphLearning / GraphAF
  ☆59Updated 4 years ago
• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆149Updated 6 years ago
• tencent-alchemy / Alchemy
  ☆114Updated last year
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆54Updated 6 years ago
• microsoft / constrained-graph-variational-autoencoder
  Sample code for Constrained Graph Variational Autoencoders
  ☆240Updated 2 years ago
• divelab / MoleculeX
  ☆171Updated 3 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆147Updated 2 years ago
• benatorc / OTGNN
  OTGNN code
  ☆56Updated 5 years ago
• nicola-decao / MolGAN
  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
  ☆286Updated 2 years ago
• chao1224 / n_gram_graph
  N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
  ☆39Updated 4 years ago
• shuix007 / HMGNN
  Heterogeneous Molecular Graph Neural Network
  ☆28Updated 5 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆97Updated 3 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆80Updated 4 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• bigdata-ustc / QM9nano4USTC
  中科大数据科学导论课程实验-QM9数据集
  ☆32Updated 5 years ago
• SY575 / CMPNN
  ☆77Updated 2 years ago
• tencent-ailab / DrugOOD
  OOD Dataset Curator and Benchmark for AI-aided Drug Discovery
  ☆167Updated 3 years ago
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆171Updated 4 years ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆129Updated last year
• masashitsubaki / molecularGNN_3Dstructure
  Graph neural network (GNN) for molecular property prediction (3D structure)
  ☆104Updated 5 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆126Updated 2 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆56Updated 6 years ago
• tencent-ailab / grover
  This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
  ☆376Updated 5 months ago
• SeongokRyu / augmented-GCN
  ☆59Updated 7 years ago
• malllabiisc / ProteinGCN
  ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
  ☆119Updated last year
• kfzyqin / Implementation-MolGAN-PyTorch
  PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
  ☆62Updated 4 years ago
• OpenDrugAI / AttentiveFP
  ☆188Updated 2 years ago
• chao1224 / GraphMVP
  Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
  ☆204Updated 3 years ago