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.

LibCity: An Open Library for Urban Spatial-temporal Data Mining

list of papers, code, and other resources

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

tsl: a PyTorch library for processing spatiotemporal data.

Summary of open source code for deep learning models in the field of traffic prediction

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Paper list in traffic prediction field

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

No description provided.

Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

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.).

3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".

Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"

Awesome Time-Series and Spatio-Temporal Related

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks