A convolutional neural network for graph classification in PyTorch
☆91Feb 15, 2019Updated 7 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Dec 13, 2019Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆336Oct 16, 2020Updated 6 years ago
- A package for computing Graph Kernels☆104Jul 21, 2023Updated 3 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".☆179May 14, 2018Updated 8 years ago
- ☆14Jan 6, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is the code associated to the 2015 submission to JSTSP☆11Nov 7, 2015Updated 10 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆23Jun 11, 2019Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 5 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆25Oct 13, 2017Updated 9 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆156Dec 4, 2017Updated 8 years ago
- PyTorch implementation of DGCNN☆398Sep 13, 2023Updated 3 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Oct 21, 2020Updated 6 years ago
- Awesome Graph Embedding Techinques☆60Nov 26, 2018Updated 7 years ago
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Pytorch Implementation for Graph Convolutional Neural Networks☆330Aug 3, 2018Updated 8 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆275Nov 6, 2022Updated 3 years ago
- ☆16Feb 12, 2020Updated 6 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆299Feb 28, 2022Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 7 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Nov 6, 2022Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆110Jul 28, 2017Updated 9 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆188Mar 18, 2023Updated 3 years ago
- ☆174Dec 3, 2018Updated 7 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Oct 1, 2021Updated 5 years ago
- A collection of graph classification methods☆42Oct 18, 2020Updated 6 years ago
- Max-margin DeepWalk☆73May 9, 2017Updated 9 years ago
- ☆1,286Nov 5, 2023Updated 2 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆180May 15, 2023Updated 3 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆48Feb 25, 2019Updated 7 years ago
- Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…☆43Apr 29, 2017Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)☆82May 30, 2021Updated 5 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Aug 7, 2018Updated 8 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆129Jun 7, 2025Updated last year
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆91May 19, 2018Updated 8 years ago
- An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.☆37May 19, 2017Updated 9 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆538Nov 22, 2019Updated 6 years ago
- ☆12May 31, 2021Updated 5 years ago