Simple reference implementation of GraphSAGE.
☆1,044May 11, 2020Updated 5 years ago
Alternatives and similar repositories for graphsage-simple
Users that are interested in graphsage-simple are comparing it to the libraries listed below
Sorting:
- Representation learning on large graphs using stochastic graph convolutions.☆3,659Aug 4, 2024Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆680Oct 3, 2023Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,114Jul 6, 2023Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,500Apr 9, 2022Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,360Apr 14, 2023Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143May 8, 2018Updated 7 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,238Jul 31, 2025Updated 7 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Mar 25, 2021Updated 4 years ago
- Graph Neural Network Library for PyTorch☆23,516Updated this week
- ☆504Jan 13, 2021Updated 5 years ago
- DeepWalk - Deep Learning for Graphs☆2,755Jun 14, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆663Nov 1, 2022Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,275Jul 1, 2021Updated 4 years ago
- Must-read papers on graph neural networks (GNN)☆16,726Dec 20, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,030Feb 7, 2026Updated 3 weeks ago
- Heterogeneous Graph Neural Network☆1,202May 6, 2020Updated 5 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- An Open-Source Package for Network Embedding (NE)☆1,703Jan 10, 2024Updated 2 years ago
- Semi-supervised learning with graph embeddings☆946Mar 5, 2020Updated 5 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,730Jan 3, 2020Updated 6 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,520Aug 3, 2020Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- ☆2,717Jul 21, 2022Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- A curated list of network embedding techniques.☆2,625Dec 8, 2020Updated 5 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,075May 6, 2025Updated 9 months ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Dec 5, 2018Updated 7 years ago
- Generate embeddings from large-scale graph-structured data.☆3,411Mar 3, 2024Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Jul 2, 2019Updated 6 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆847Jan 11, 2023Updated 3 years ago
- ☆1,288Nov 5, 2023Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,079Feb 15, 2023Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- Graph Convolutional Networks (GCNs)☆920Feb 9, 2018Updated 8 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,807Mar 18, 2023Updated 2 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,270Jun 14, 2024Updated last year