benedekrozemberczki / pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
☆2,785Updated 3 weeks ago
Alternatives and similar repositories for pytorch_geometric_temporal:
Users that are interested in pytorch_geometric_temporal are comparing it to the libraries listed below
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,580Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,788Updated last year
- TGN: Temporal Graph Networks☆1,042Updated 10 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,995Updated 4 months ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆953Updated 3 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,187Updated 3 weeks ago
- gnn explainer☆947Updated 7 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,666Updated last year
- Pytorch Geometric Tutorials☆1,102Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,022Updated last year
- Python library assists deep learning on graphs☆556Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,256Updated 10 months ago
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,136Updated 8 months ago
- Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method☆1,595Updated 3 weeks ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,340Updated 3 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,021Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,771Updated last year
- Papers about explainability of GNNs☆718Updated last month
- Paper Lists for Graph Neural Networks☆2,252Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,001Updated last year
- ☆850Updated last year
- links to conference publications in graph-based deep learning☆4,906Updated 4 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,510Updated 8 months ago
- Graph Convolutional Networks in PyTorch☆5,289Updated 4 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,159Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆560Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆646Updated last year
- Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting☆541Updated 10 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆666Updated 2 years ago