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 21, 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.
📈 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
A comprehesive survey about foundation models for weather and cliamte data understanding.
TianChi AIEarth Contest Solution
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
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"
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
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
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