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.

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting

TianChi AIEarth Contest Solution

Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

A diffusion-based framework for spatio-temporal point processes

Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions

The code of paper "Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning"

a novel transformer-based architecture named CSTTN for traffic prediction

Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).

A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.

ML on spatial-temporal data to predict wind speeds of satellite storm images --> InceptionV4 (2D CNN) on last frame & I3D (3D CNN) on optical flows of preceding 4 frames

A web-based tool that predicts crimes based on heterogeneous spatial patterns

Predicting insecticide use across Canada