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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 typ...
Created 2022-06-29
381 commits to main branch, last one 8 days ago
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The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Created 2023-03-01
14 commits to main branch, last one about a year ago
TianChi AIEarth Contest Solution
Created 2021-05-23
8 commits to main branch, last one 3 years ago
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Created 2022-06-30
4 commits to main branch, last one 2 years ago
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Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
Created 2021-03-13
4 commits to main branch, last one 3 years ago
A diffusion-based framework for spatio-temporal point processes
Created 2023-02-02
79 commits to main branch, last one 10 months ago
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[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
Created 2021-12-15
34 commits to master branch, last one 2 years ago
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Created 2020-05-04
41 commits to master branch, last one 2 years ago
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
Created 2021-07-22
8 commits to main branch, last one 3 years ago
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
Created 2024-12-13
10 commits to main branch, last one about a month ago