PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

tsl: a PyTorch library for processing spatiotemporal data.

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

Temporal Graph Analysis with TGX

🌟 Vertex Centric approach for building GNN/TGNNs

Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

A Temporal Networks Library written in Python

[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift

[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling

DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.

A Temporal Networks Library written in Python