tkipf / keras-gcnView external linksLinks
Keras implementation of Graph Convolutional Networks
☆794Apr 19, 2021Updated 4 years ago
Alternatives and similar repositories for keras-gcn
Users that are interested in keras-gcn are comparing it to the libraries listed below
Sorting:
- Implementation of Graph Convolutional Networks in TensorFlow☆7,359Apr 14, 2023Updated 2 years ago
- Graph convolutional layers☆62Jan 22, 2022Updated 4 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Jul 2, 2019Updated 6 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Oct 26, 2020Updated 5 years ago
- Graph Convolutional Networks (GCNs)☆920Feb 9, 2018Updated 8 years ago
- 图卷积神经网络 Graph Convolutional Network with Keras☆165Mar 24, 2023Updated 2 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,730Jan 3, 2020Updated 6 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Jul 28, 2022Updated 3 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,498Apr 9, 2022Updated 3 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,367Jun 13, 2020Updated 5 years ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,394Jan 21, 2024Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,653Aug 4, 2024Updated last year
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Apr 4, 2017Updated 8 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Oct 8, 2020Updated 5 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆49May 19, 2017Updated 8 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Oct 1, 2021Updated 4 years ago
- Build Graph Nets in Tensorflow☆5,393Dec 12, 2022Updated 3 years ago
- ☆2,712Jul 21, 2022Updated 3 years ago
- For training very deep networks☆10Jun 12, 2017Updated 8 years ago
- Graph Convolutional Networks for Text Classification. AAAI 2019☆1,389Dec 29, 2021Updated 4 years ago
- Graph Neural Network Library for PyTorch☆23,469Updated this week
- DeepWalk - Deep Learning for Graphs☆2,753Jun 14, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,232Jul 31, 2025Updated 6 months ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Mar 25, 2021Updated 4 years ago
- StellarGraph - Machine Learning on Graphs☆3,043Apr 10, 2024Updated last year
- Semi-supervised learning with graph embeddings☆946Mar 5, 2020Updated 5 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- Keras Attention Layer (Luong and Bahdanau scores).☆2,816Nov 17, 2023Updated 2 years ago
- resources for graph convolutional networks (图卷积神经网络相关资源)☆912Jul 12, 2019Updated 6 years ago
- Must-read papers on graph neural networks (GNN)☆16,723Dec 20, 2023Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆256Apr 13, 2018Updated 7 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,806Mar 18, 2023Updated 2 years ago
- Implementation of BERT that could load official pre-trained models for feature extraction and prediction☆2,428Jan 22, 2022Updated 4 years ago
- Keras-based implementation of neural fingerprints, operating on molecular graphs of arbitrary size☆24Oct 8, 2016Updated 9 years ago
- A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need☆713Sep 24, 2021Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,416Mar 3, 2024Updated last year
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆540Nov 22, 2019Updated 6 years ago