Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

tsl: a PyTorch library for processing spatiotemporal data.

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"

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

"Evaluation procedures for forecasting with spatio-temporal data" -- Mathematics (MDPI) 2021

Code, logs, and final models for SIGSPATIAL SpatialEpi '22: Spatiotemporal Disease Case Prediction using Contrastive Predictive Coding.

[AAAI] A spatiotemporal embedding framework for geographical entities

code for "Spatiotemporal Predictive Models for Irregularly Sampled Time Series"

GNN for spatiotemporal Forecasting using Extreme Value Theory