graphdeeplearning / benchmarking-gnnsLinks
Repository for benchmarking graph neural networks (JMLR 2023)
☆2,641Updated 2 years ago
Alternatives and similar repositories for benchmarking-gnns
Users that are interested in benchmarking-gnns are comparing it to the libraries listed below
Sorting:
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,050Updated 6 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,857Updated 2 years ago
- Paper Lists for Graph Neural Networks☆2,282Updated last year
- How Powerful are Graph Neural Networks?☆1,259Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,218Updated 7 months ago
- links to conference publications in graph-based deep learning☆4,989Updated last month
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,458Updated 3 years ago
- gnn explainer☆1,014Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,699Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,627Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,082Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,808Updated last year
- Graph Convolutional Networks in PyTorch☆5,381Updated 5 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,713Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,060Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,035Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,046Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,273Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,382Updated last year
- A library for graph deep learning research☆1,996Updated last year
- Papers on Graph neural network(GNN)☆768Updated 2 years ago
- TensorFlow implementations of Graph Neural Networks☆929Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,008Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆877Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆805Updated 3 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆805Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,186Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- TGN: Temporal Graph Networks☆1,131Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆7,329Updated 2 years ago