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.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

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

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

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

tsl: a PyTorch library for processing spatiotemporal data.

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

[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Paper list in traffic prediction field

Traffic data processing tools in LibCity

A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.

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

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

Tensorflow Implementation of GeoMAN, IJCAI-18

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

"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081