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Multivariate Time Series Forecasting with Latent Graph Inference

Multivariate Time Series Forecasting with Latent Graph Inference

7 March 2022
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Multivariate Time Series Forecasting with Latent Graph Inference"

19 / 19 papers shown
Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
Wei Chen
Yuqian Wu
Yuanshao Zhu
Xixuan Hao
Shiyu Wang
Yuxuan Liang
Yuxuan Liang
AI4TS
273
3
0
06 Sep 2025
Over-squashing in Spatiotemporal Graph Neural Networks
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca
Jacob Bamberger
Cesare Alippi
Michael M. Bronstein
333
3
0
18 Jun 2025
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Quoc Viet Nguyen
Joaquín Delgado Fernández
Sergio Potenciano Menci
AI4TS
288
1
0
14 Feb 2025
On the Regularization of Learnable Embeddings for Time Series Forecasting
On the Regularization of Learnable Embeddings for Time Series Forecasting
L. Butera
G. Felice
Andrea Cini
Cesare Alippi
AI4TS
419
0
0
18 Oct 2024
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
432
18
0
30 Aug 2024
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan
Jie Lu
Junyu Xuan
314
15
0
28 Mar 2024
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
507
38
0
24 Oct 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series
  Forecasting
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Sitan Yang
Malcolm Wolff
S. Ramasubramanian
Vincent Quenneville-Belair
Ronak Metha
Michael W. Mahoney
AI4TSAI4CE
229
1
0
07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
503
412
0
07 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at
  Scale
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale
Tong Nie
Guoyang Qin
Lijun Sun
Wei Ma
Yuewen Mei
Jiangming Sun
AI4TS
452
3
0
04 Jul 2023
Graph-based Time Series Clustering for End-to-End Hierarchical
  Forecasting
Graph-based Time Series Clustering for End-to-End Hierarchical ForecastingInternational Conference on Machine Learning (ICML), 2023
Andrea Cini
Danilo Mandic
Cesare Alippi
AI4TS
242
22
0
30 May 2023
Forecasting Irregularly Sampled Time Series using Graphs
Forecasting Irregularly Sampled Time Series using GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023
Vijaya Krishna Yalavarthi
Kiran Madusudanan
Randolf Scholz
Nourhan Ahmed
Johannes Burchert
Shayan Jawed
Stefan Born
Lars Schmidt-Thieme
AI4TS
213
2
0
22 May 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Taming Local Effects in Graph-based Spatiotemporal ForecastingNeural Information Processing Systems (NeurIPS), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
350
52
0
08 Feb 2023
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load
  Forecasting
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load ForecastingNeural Networks (NN), 2022
Slawek Smyl
Grzegorz Dudek
Paweł Pełka
AI4TS
265
25
0
18 Dec 2022
Scalable Spatiotemporal Graph Neural Networks
Scalable Spatiotemporal Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Andrea Cini
Ivan Marisca
F. Bianchi
Cesare Alippi
AI4TSAI4CE
337
97
0
14 Sep 2022
Modeling Oceanic Variables with Dynamic Graph Neural Networks
Modeling Oceanic Variables with Dynamic Graph Neural Networks
Caio F. D. Netto
M. R. Barros
Jefferson F. Coelho
L. Freitas
F. M. Moreno
...
M. Dottori
Fabio Gagliardi Cozman
A. H. R. Costa
E. Gomi
E. Tannuri
157
2
0
25 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series
Sparse Graph Learning from Spatiotemporal Time SeriesJournal of machine learning research (JMLR), 2022
Andrea Cini
Daniele Zambon
Cesare Alippi
CMLAI4TS
547
30
0
26 May 2022
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal
  graphs
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs
Daniele Zambon
Cesare Alippi
224
6
0
23 Apr 2022
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
517
325
0
21 Apr 2020
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