Alternatives and similar repositories for GNNkeras

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

• deepfindr / gnn-project
  A Graph Neural Network project on HIV data
  ☆282Updated last year
• aimat-lab / gcnn_keras
  Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
  ☆116Updated 8 months ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆71Updated 4 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• deepfindr / gvae
  ☆98Updated 2 years ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆83Updated 10 months ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• chenxiaowei-vincent / XGraphBoost
  ☆58Updated 4 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆195Updated last year
• AntonioLonga / Explaining-the-Explainers-in-Graph-Neural-Networks
  Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"
  ☆36Updated last year
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆37Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 7 months ago
• BenGutteridge / DRew
  ☆31Updated last year
• 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 3 months ago
• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆62Updated 3 years ago
• shubhamguptaiitd / GraphRNN
  Graph Generative Model (Pytorch implementation)
  ☆17Updated 5 years ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆81Updated 2 years ago
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆30Updated 2 years ago
• zty2009 / GCN-DNN
  ☆14Updated 5 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 5 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)…
  ☆41Updated 6 months ago
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆41Updated 5 years ago
• yifeiwang15 / MotifConv
  This is the official implementation of "Motif-based Graph Representation Learning with Application to Chemical Molecules".
  ☆11Updated 2 years ago
• HipGraph / GNNShap
  [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
  ☆37Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆90Updated last year
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 5 years ago
• NetPharMedGroup / publication_fingerprint
  code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"
  ☆16Updated 3 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆40Updated 9 months ago
• ShaharGottlieb / GNNExplainer_DGL
  GNNExplainer implementation using DGL
  ☆32Updated 4 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago