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.

list of papers, code, and other resources

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

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

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

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

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

A collection of research on spatio-temporal data mining

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

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