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

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Data visualization examples and tutorials from scratch. 数据可视化示例代码集与新手学习教程。

Traffic data processing tools in LibCity

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

A collection of research on spatio-temporal data mining

A survey and paper list of current Spatio-Temporal Foundation Models from the pipeline perspective with awesome resources (paper, code, survey, etc.).

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

A framework for Spatio-Temporal Data Analytics on Spark

Trajectory Mining Library

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Simple and effective tools for the analysis of movement data

"LLM4Urban: Urban Computing in the Era of Large Language Models"

Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets

[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"

ST-OPTICS: Spatio-temporal clustering based on OPTICS

Analyzing and Visualizing Human Mobility Data in R

multi-step ahead forecasting of spatio-temporal data

traffic flow prediction

Sample JavaScript Aggregation Viewer using Map Service queries with an Aggregation Renderer and rendering images server side