pytorch_geometric_temporal
Temporal graph NN library
A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
3k stars
38 watching
378 forks
Language: Python
last commit: 4 months ago
Linked from 5 awesome lists
deep-learninggcngnngraph-convolutiongraph-convolutional-networksgraph-embeddinggraph-neural-networksnetwork-embeddingnetwork-sciencenode-embeddingpytorchspatial-analysisspatial-dataspatio-temporal-analysisspatio-temporal-dataspatiotemporaltemporal-datatemporal-graphstemporal-networks
josephmisiti/awesome-machine-learning
academic/awesome-datascience
bharathgs/awesome-pytorch-list
oxnr/awesome-bigdata
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
| benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
| benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
 torchspatiotemporal/tsl | A comprehensive library for processing spatiotemporal data with PyTorch | 281 |
 yjxiong/tsn-pytorch | A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
 mengcz13/kdd2021_cnfgnn | An implementation of a federated graph neural network for spatio-temporal modeling | 65 |
| benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 577 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
 chingyaoc/ggnn.pytorch | An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. | 466 |
 dawnranger/pytorch-agnn | An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning | 146 |
| benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
| benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 claws-lab/jodie | A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
| benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 270 |