Sparse Graph Learning from Spatiotemporal Time Series

Sparse Graph Learning from Spatiotemporal Time Series

26 May 2022

Papers citing "Sparse Graph Learning from Spatiotemporal Time Series"

15 / 15 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Interpreting Temporal Graph Neural Networks with Koopman Theory Michele Guerra Simone Scardapane F. Bianchi AI4TS AI4CE 23 0 0 17 Oct 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana 35 0 0 22 Aug 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 38 1 0 30 May 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev Cesare Alippi 34 6 0 19 Feb 2024
Diffusion model for relational inference Shuhan Zheng Ziqiang Li Kantaro Fujiwara Gouhei Tanaka DiffM 27 1 0 30 Jan 2024
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS 29 31 0 08 Feb 2023
Graph state-space models Daniele Zambon Andrea Cini L. Livi Cesare Alippi 23 6 0 04 Jan 2023
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 38 11 0 11 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 108 227 0 18 Jan 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016