CyberZHG / keras-gcn
Graph convolutional layers
☆62Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for keras-gcn
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 2 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆30Updated 4 years ago
- Graph Convolution Network for TensorFlow 2 implementation.☆51Updated 5 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆208Updated 2 years ago
- Graph Star Net☆108Updated last year
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆268Updated 2 years ago
- 图卷积神经网络 Graph Convolutional Network with Keras☆157Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 6 months ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆44Updated last year
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 3 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Updated 3 years ago
- Learning from graph data using Keras☆64Updated 5 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆65Updated last year
- Graph convolutional recurrent neural network☆178Updated 6 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆25Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆98Updated 4 years ago
- FastGCN for inductive text classification☆85Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆99Updated 4 years ago
- Collect papers about graph☆74Updated 4 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆64Updated 5 years ago
- ☆136Updated 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 4 years ago
- a numpy implementation of Graph Convolutional Networks☆27Updated 5 years ago