giannisnik / cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
☆91Updated 5 years ago
Alternatives and similar repositories for cnn-graph-classification:
Users that are interested in cnn-graph-classification are comparing it to the libraries listed below
- 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
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆81Updated 6 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Collection of graph neural networks in pytorch☆50Updated 7 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆46Updated 6 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆55Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆73Updated 7 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆91Updated 6 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆45Updated 7 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Updated 3 years ago
- Graph convolutional recurrent neural network☆179Updated 6 years ago
- ☆37Updated 5 years ago
- ☆136Updated 4 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆174Updated 6 years ago
- tensorflow-as-gcn☆92Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆55Updated 6 years ago
- Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow☆78Updated 6 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆26Updated 7 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago