microsoft / tf-gnn-samplesLinks
TensorFlow implementations of Graph Neural Networks
☆931Updated 3 years ago
Alternatives and similar repositories for tf-gnn-samples
Users that are interested in tf-gnn-samples are comparing it to the libraries listed below
Sorting:
- Sample Code for Gated Graph Neural Networks☆1,028Updated 6 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆374Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,229Updated 10 months ago
- How Powerful are Graph Neural Networks?☆1,270Updated 4 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,071Updated 9 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,649Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Updated 3 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,043Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Updated 4 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆809Updated 3 years ago
- A PyTorch Graph Neural Network Library☆376Updated 5 months ago
- Papers on Graph neural network(GNN)☆768Updated 2 years ago
- gnn explainer☆1,028Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆506Updated 5 months ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆931Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,653Updated last year
- Keras implementation of Graph Convolutional Networks☆794Updated 4 years ago
- ☆524Updated 6 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Updated 5 years ago
- Graph Markov Neural Networks☆412Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,050Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆680Updated 2 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Updated 6 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,076Updated 2 years ago