Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

31 July 2021

Papers citing "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"

50 / 61 papers shown

Title
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference Steve Yang Tao Yang Bo Hu 60 0 0 12 Mar 2025
S4M: S4 for multivariate time series forecasting with Missing values Jing Peng Meiqi Yang Qiong Zhang Xiaoxiao Li AI4TS 36 0 0 02 Mar 2025
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 77 1 0 21 Jan 2025
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
FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation Shaokang Cheng Nada Osman Shiru Qu Lamberto Ballan DiffM 30 0 0 20 Oct 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini Cesare Alippi AI4TS 34 0 0 18 Oct 2024
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone Hongfan Gao Wangmeng Shen Xiangfei Qiu Ronghui Xu Jilin Hu Bin Yang 30 5 0 17 Oct 2024
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models Javier Solís-García Belén Vega-Márquez Juan A. Nepomuceno Isabel A. Nepomuceno-Chamorro Mamba AI4TS AI4CE 25 0 0 08 Oct 2024
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation Amir Eskandari Aman Anand Drishti Sharma F. Zulkernine AI4TS 64 0 0 04 Oct 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series Kohei Obata Koki Kawabata Yasuko Matsubara Yasushi Sakurai AI4TS 33 1 0 16 Sep 2024
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation Guojun Liang N. Abiri Atiye Sadat Hashemi Jens Lundstrom Stefan Byttner Prayag Tiwari DiffM 44 0 0 13 Sep 2024
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 40 3 0 30 Aug 2024
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction Zhanwen Liu Chao Li Nan Yang Yang Wang Jiaqi Ma Guangliang Cheng Xiangmo Zhao 33 2 0 08 Jul 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting Yue Jiang Xiucheng Li Yile Chen Shuai Liu Weilong Kong Antonis F. Lentzakis Gao Cong AI4TS AI4CE 31 1 0 18 Jun 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 40 1 0 31 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 46 2 0 21 May 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation Guojun Liang Prayag Tiwari Slawomir Nowaczyk Stefan Byttner AI4TS AI4CE 58 3 0 16 May 2024
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning Bin Lu Ze Zhao Luyu Han Xiaoying Gan Yuntao Zhou Lei Zhou Luoyi Fu Xinbing Wang Cheng Zhou Jing Zhang AI4Cl AI4CE 41 3 0 12 May 2024
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things Keivan Faghih Niresi Hugo Bissig Henri Baumann Olga Fink AI4CE 46 2 0 11 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 36 7 0 28 Mar 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jing Dawei Zhou Kan Ren Carl Yang CML AI4TS 32 6 0 18 Mar 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
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 47 3 0 18 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 40 8 0 16 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Yiyuan Yang Linglong Qian Wei Cao Keli Zhang Wenjia Wang Yuxuan Liang Qingsong Wen AI4TS SyDa BDL 48 38 0 06 Feb 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
Knowledge Enhanced Conditional Imputation for Healthcare Time-series Linglong Qian Zina Ibrahim Hugh Logan Ellis Ao Zhang Yuezhou Zhang Tao Wang Richard J. B. Dobson AI4TS 34 2 0 27 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 29 24 0 04 Dec 2023
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach Kehui Yao Jingyi Huang Jun Zhu 17 0 0 01 Dec 2023
Neural Structure Learning with Stochastic Differential Equations Benjie Wang Joel Jennings Wenbo Gong CML AI4TS 20 3 0 06 Nov 2023
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy Qianxiong Xu Cheng Long Ziyue Li Sijie Ruan Rui Zhao Zhishuai Li 34 7 0 05 Nov 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 26 14 0 24 Oct 2023
Machine Learning for Urban Air Quality Analytics: A Survey Jindong Han Weijiao Zhang Hao Liu Hui Xiong AI4CE 80 12 0 14 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 30 11 0 03 Oct 2023
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 43 0 0 29 Sep 2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation Shunyang Zhang Senzhang Wang Xianzhen Tan Ruochen Liu Jian Zhang Jianxin Wang 30 4 0 05 Sep 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
Reconstructing Graph Diffusion History from a Single Snapshot Ruizhong Qiu Dingsu Wang Lei Ying H. Vincent Poor Yifang Zhang Hanghang Tong DiffM 27 6 0 01 Jun 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo Mandic Cesare Alippi AI4TS 29 9 0 30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 43 27 0 29 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 23 21 0 10 May 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation Mingzhe Liu Han Huang Hao Feng Leilei Sun Bowen Du Yanjie Fu DiffM 19 45 0 20 Feb 2023
Temporal Graph Neural Networks for Irregular Data Joel Oskarsson Per Sidén Fredrik Lindsten AI4TS 23 11 0 16 Feb 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng Runzhao Yang Tingxiong Xiao Zongren Li J. Suo K. He Qionghai Dai OOD BDL AI4TS CML 21 24 0 15 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS 32 31 0 08 Feb 2023
Graph state-space models Daniele Zambon Andrea Cini L. Livi Cesare Alippi 23 6 0 04 Jan 2023
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks Andreas Roth Thomas Liebig AI4TS AI4CE 27 10 0 21 Nov 2022
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data Kai Zhang Qinmin Yang Chong Li AI4TS 19 0 0 16 Sep 2022