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DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising
  Diffusion Models

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

31 January 2023
Haomin Wen
Youfang Lin
Yutong Xia
Huaiyu Wan
Qingsong Wen
Roger Zimmermann
Keli Zhang
    DiffM
ArXivPDFHTML

Papers citing "DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models"

15 / 15 papers shown
Title
Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting
Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting
Kazi Ashik Islam
Zakaria Mehrab
Mahantesh Halappanavar
H. Mortveit
Sridhar Katragadda
Jon Derek Loftis
Madhav V. Marathe
DiffM
AI4CE
42
0
0
08 May 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
Yunfeng Ge
Jiawei Li
Yiji Zhao
Haomin Wen
Zhao Li
M. Qiu
Yiming Li
Ming Jin
Shirui Pan
DiffM
165
0
0
05 May 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
Weilin Ruan
Siru Zhong
Haomin Wen
Keli Zhang
AI4TS
79
1
0
16 Feb 2025
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
Subhankar Ghosh
Arun Sharma
Jayant Gupta
Aneesh Subramanian
Shashi Shekhar
DiffM
70
5
0
28 Jan 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
Qishen Zhou
Yifan Zhang
Michail A. Makridis
Anastasios Kouvelas
Yibing Wang
Simon Hu
AI4TS
80
1
0
21 Jan 2025
Diffusion-based Method for Satellite Pattern-of-Life Identification
Diffusion-based Method for Satellite Pattern-of-Life Identification
Yongchao Ye
Xinting Zhu
Xuejin Shen
Xiaoyu Chen
Lishuai Li
S. Joe Qin
83
0
0
14 Dec 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
S. H. Lim
Yijin Wang
Annan Yu
Emma Hart
Michael W. Mahoney
Xiaoye S. Li
N. Benjamin Erichson
AI4TS
47
1
0
04 Oct 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
41
5
0
06 Aug 2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal
  Imputation
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
Yakun Chen
Kaize Shi
Zhangkai Wu
Juan Chen
Xianzhi Wang
Julian McAuley
Guandong Xu
Shui Yu
DiffM
56
3
0
18 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
Yuan Gao
Haokun Chen
Xiang Wang
Zhicai Wang
Xue Wang
Jinyang Gao
Bolin Ding
45
6
0
05 Feb 2024
A Survey of Generative AI for Intelligent Transportation Systems
A Survey of Generative AI for Intelligent Transportation Systems
Huan Yan
Yong Li
28
8
0
13 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
40
118
0
16 Oct 2023
Graph Neural Controlled Differential Equations for Traffic Forecasting
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi
Hwangyong Choi
JeeHyun Hwang
Noseong Park
BDL
AI4TS
95
266
1
07 Dec 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
246
1,900
0
06 Jun 2016
1