This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
☆157Dec 4, 2017Updated 8 years ago
Alternatives and similar repositories for graph2vec_tf
Users that are interested in graph2vec_tf are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆934Nov 6, 2022Updated 3 years ago
- This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper☆25Oct 13, 2017Updated 8 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
- 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
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 8 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- ☆174Dec 3, 2018Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆84Jul 17, 2018Updated 8 years ago
- Fast embedding-based graph classification with connections to kernels☆13May 6, 2020Updated 6 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Feb 11, 2019Updated 7 years ago
- ☆2,740Jul 21, 2022Updated 4 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,801Mar 18, 2023Updated 3 years ago
- A python implementation of Patchy-San Convolutional Network for Graph☆41Dec 2, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Vanilla Implementation of Graph Convolutional Networks☆15Apr 6, 2020Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆199Dec 7, 2020Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Jul 16, 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
- Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".☆14Apr 27, 2020Updated 6 years ago
- Open Resources For network embedding☆15Feb 24, 2020Updated 6 years ago
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 3 years ago
- Pytorch implementation of some Network Embedding methods☆10May 29, 2018Updated 8 years ago
- pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)☆312May 14, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆99May 29, 2020Updated 6 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆188Mar 18, 2023Updated 3 years ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,286Jul 17, 2024Updated 2 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆115Jul 6, 2023Updated 3 years ago
- Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs☆44Jun 21, 2022Updated 4 years ago
- ☆12Oct 3, 2018Updated 7 years ago
- A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).☆105Mar 18, 2023Updated 3 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,513Aug 3, 2020Updated 6 years ago
- A Mocktail of Source Code Representations - Consolidated Pipeline☆10Nov 6, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆12Nov 1, 2018Updated 7 years ago
- ☆356Apr 7, 2020Updated 6 years ago
- ☆14Apr 29, 2019Updated 7 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆44Aug 27, 2017Updated 9 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Dec 27, 2018Updated 7 years ago
- DeepWalk - Deep Learning for Graphs☆2,757Jun 14, 2023Updated 3 years ago
- ☆154Sep 27, 2019Updated 6 years ago