Alternatives and similar repositories for GNNkeras

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

• aimat-lab / gcnn_keras
  Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
  ☆116Updated 9 months ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆82Updated 11 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆30Updated 2 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 5 months ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆197Updated last year
• KacperKubara / ml-cookbook
  Machine learning notebooks and code used for demonstration purposes
  ☆24Updated 4 years ago
• deepfindr / gvae
  ☆99Updated 2 years ago
• azminewasi / Awesome-Graph-Research-ICLR2025
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆42Updated 7 months ago
• fork123aniket / Molecule-Graph-Generation
  Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
  ☆24Updated 11 months ago
• chenxiaowei-vincent / XGraphBoost
  ☆58Updated 4 years ago
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆37Updated 2 years ago
• drigoni / ConditionalCGVAE
  Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design
  ☆17Updated 5 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• isayevlab / DRACON
  ☆16Updated 2 years ago
• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆63Updated 3 years ago
• KemperNiklas / FragNet
  Official Implementation of Expressivity and Generalization: Fragment-Biases for Molecular GNNs
  ☆19Updated 11 months ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 5 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 5 years ago
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆37Updated 2 years ago
• georgelamb19 / chempropBayes
  Bayesian MPNNs for Molecular Property Prediction
  ☆28Updated 4 years ago
• satrialoka / gnn-from-scratch
  Graph neural network implementation using numpy
  ☆40Updated 6 years ago
• shubhamguptaiitd / GraphRNN
  Graph Generative Model (Pytorch implementation)
  ☆17Updated 5 years ago
• Bayer-Group / eqgat
  Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
  ☆20Updated 2 years ago
• kfzyqin / Implementation-MolGAN-PyTorch
  PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
  ☆62Updated 4 years ago
• dingyan20 / BBB-Penetration-Prediction
  The repository contains the data and the codes for the manuscript "Relational graph convolutional networks for predicting blood-brain bar…
  ☆15Updated 4 months ago
• danielvlla / Few-Shot-Learning-for-Low-Data-Drug-Discovery
  Few-shot machine learning for low-data drug discovery.
  ☆19Updated 3 years ago
• GSK-AI / meta-learning-qsar
  Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction
  ☆34Updated 5 years ago
• kenqgu / BiLevel-Graph-Neural-Network
  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
  ☆30Updated 5 years ago
• edvardlindelof / graph-neural-networks-for-drug-discovery
  ☆97Updated 5 years ago