CyberZHG / keras-gcnLinks
Graph convolutional layers
☆62Updated 3 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:
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- Graph Star Net☆110Updated last year
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆31Updated 5 years ago
- Graph Convolution Network for TensorFlow 2 implementation.☆50Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- ☆137Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Learning graph representations using autoencoder☆51Updated 8 years ago
- This is an implementation of LINE(Large-scale information network embedding) algorithm.☆72Updated last year
- Tensorflow implementation of Capsule Graph Neural Network☆74Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 6 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- Graph Convolution Network for NLP☆212Updated 2 years ago
- A repository for code accompanying my Medium posts.☆65Updated 2 years ago
- weighted random walk implementation for deepwalk (in python)☆85Updated 4 years ago
- Layer normalization implemented in Keras☆60Updated 3 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- Learning from graph data using Keras☆64Updated 6 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 8 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- ☆173Updated 6 years ago