PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

tsl: a PyTorch library for processing spatiotemporal data.

Estimation, analysis and decomposition of brainwave spatiotemporal dynamics

Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)

Given a shapefile with time-annotated vector objects (e.g., building footprints + construction year), this script will automatically create an animated GIF illustrating the dynamics for a user-specified period of time

Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets

This repository introduces Deep Particulate Matter Network with a Separated Input model based on deep learning by using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter.

An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution

[KDD 2023] Official implementation of "Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM".

The official repository for "Unveiling the Role of Climate in Spatially Synchronized Locust Outbreak Risks"

Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）

Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.

Spatiotemporal variability in the association between mental illness and substance use mortality and unemployment in the contiguous US

[KDD 2022] Official implementation of "SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data".

Spatial disparity in tract-level associations between mental illness mortality and greenspace exposure in the Pacific Northwest

Few graphs/plots and maps as outputs of movement ecology research (GPS telemetry)

Preprocessing Scripts for VIC-CropSyst Modeling

[AAAI] A spatiotemporal embedding framework for geographical entities