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.
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Updated
Jun 11, 2024
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
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
tsl: a PyTorch library for processing spatiotemporal data.
Summary of open source code for deep learning models in the field of traffic prediction
Paper list in traffic prediction field
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Traffic data processing tools in LibCity
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
Tensorflow Implementation of GeoMAN, IJCAI-18
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
Awesome Time-Series and Spatio-Temporal Related
A PyTorch implementation of T-GCN
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
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