Representation learning on large graphs using stochastic graph convolutions.
☆3,687Aug 4, 2024Updated last year
Alternatives and similar repositories for GraphSAGE
Users that are interested in GraphSAGE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple reference implementation of GraphSAGE.☆1,047May 11, 2020Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,385Apr 14, 2023Updated 3 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,523Apr 9, 2022Updated 4 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,272Jul 31, 2025Updated 9 months ago
- DeepWalk - Deep Learning for Graphs☆2,757Jun 14, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆529Mar 25, 2021Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆681Oct 3, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,735May 4, 2026Updated last week
- ☆2,730Jul 21, 2022Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,766Dec 20, 2023Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,400Sep 20, 2020Updated 5 years ago
- Semi-supervised learning with graph embeddings☆954Mar 5, 2020Updated 6 years ago
- An Open-Source Package for Network Embedding (NE)☆1,706Jan 10, 2024Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,123Jul 6, 2023Updated 2 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.
- Implementation of Graph Auto-Encoders in TensorFlow☆1,739Jan 3, 2020Updated 6 years ago
- A curated list of network embedding techniques.☆2,625Dec 8, 2020Updated 5 years ago
- A distributed graph deep learning framework.☆2,900Aug 19, 2023Updated 2 years ago
- Implementation and experiments of graph embedding algorithms.☆3,842Apr 26, 2026Updated 2 weeks ago
- StellarGraph - Machine Learning on Graphs☆3,055Apr 10, 2024Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,458Mar 3, 2024Updated 2 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,369Jun 13, 2020Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,282Jul 1, 2021Updated 4 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,518Aug 3, 2020Updated 5 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.
- ☆1,287Nov 5, 2023Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,400Dec 12, 2022Updated 3 years ago
- links to conference publications in graph-based deep learning☆5,057Feb 7, 2026Updated 3 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,803Mar 18, 2023Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 3 years ago
- LINE: Large-scale information network embedding☆1,053Jul 16, 2024Updated last year
- Heterogeneous Graph Neural Network☆1,208May 6, 2020Updated 6 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 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.
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆854Jan 11, 2023Updated 3 years ago
- An Industrial Graph Neural Network Framework☆1,341Jul 4, 2025Updated 10 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,086May 6, 2025Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,653Jun 22, 2023Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆818Jul 2, 2019Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143May 8, 2018Updated 8 years ago
- Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.☆2,275Dec 10, 2023Updated 2 years ago