williamleif / GraphSAGELinks
Representation learning on large graphs using stochastic graph convolutions.
☆3,535Updated 10 months ago
Alternatives and similar repositories for GraphSAGE
Users that are interested in GraphSAGE are comparing it to the libraries listed below
Sorting:
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,373Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,272Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,318Updated 4 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,592Updated last year
- DeepWalk - Deep Learning for Graphs☆2,734Updated 2 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,691Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,041Updated last year
- ☆2,676Updated 2 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,360Updated 5 years ago
- Paper Lists for Graph Neural Networks☆2,261Updated last year
- links to conference publications in graph-based deep learning☆4,930Updated 3 weeks ago
- How Powerful are Graph Neural Networks?☆1,219Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,010Updated last month
- An Open-Source Package for Network Embedding (NE)☆1,699Updated last year
- Semi-supervised learning with graph embeddings☆921Updated 5 years ago
- Implementation and experiments of graph embedding algorithms.☆3,811Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,783Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆652Updated last year
- ☆1,287Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆817Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,143Updated 5 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆813Updated 5 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,199Updated 2 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,807Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,257Updated 2 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,252Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,522Updated 4 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆488Updated 4 years ago