INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

The Web Conference (WWW), 2023

6 February 2023

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Papers citing "INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging"

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Title
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables Zibo Liu Zhe Jiang Zelin Xu Tingsong Xiao Yupu Zhang Zhengkun Xiao Haibo Wang Shigang Chen AI4TS 88 0 0 28 Oct 2025
DRIK: Distribution-Robust Inductive Kriging without Information Leakage Chen Yang Changhao Zhao Chen Wang Jiansheng Fan 70 0 0 28 Sep 2025
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach Yujie Li Zezhi Shao Chengqing Yu Tangwen Qian Zhao Zhang Yifan Du Shaoming He Fei Wang Yongjun Xu 96 3 0 22 Aug 2025
Generalising Traffic Forecasting to Regions without Traffic Observations Xinyu Su Majid Sarvi Feng Liu E. Tanin Jianzhong Qi AI4TS 100 0 0 12 Aug 2025
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates Chengqing Yu Fei Wang Chuanguang Yang Zezhi Shao Tao Sun Tangwen Qian Wei Wei Zhulin An Yongjun Xu AI4TS 142 4 0 14 Jun 2025
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume Silke K. Kaiser Filipe Rodrigues Carlos Lima Azevedo Lynn H. Kaack AI4TS GNN 269 0 0 07 May 2025
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu 259 1 0 20 Mar 2025
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference Steve Yang Tao Yang Bo Hu 260 0 0 12 Mar 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing NetworksTransportation Research Part C: Emerging Technologies (TRC), 2025 Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu AI4TS 260 3 0 21 Jan 2025
DualCast: A Model to Disentangle Aperiodic Events from Traffic SeriesInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Xinyu Su Feng Liu Yanchuan Chang E. Tanin Majid Sarvi Jianzhong Qi AI4TS 278 2 0 27 Nov 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural NetworkInternational Conference on Database Systems for Advanced Applications (DASFAA), 2024 Jialun Zheng Divya Saxena Jiannong Cao Hanchen Yang Penghui Ruan AI4TS 130 2 0 20 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 273 9 0 30 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic Zibo Liu Zhe Jiang Zelin Xu Tingsong Xiao Zhengkun Xiao Haibo Wang Shigang Chen AI4TS 171 0 0 02 Aug 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev Cesare Alippi 161 8 0 19 Feb 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Zhishuai Li Yunhao Nie Ziyue Li Mengwei He Yisheng Lv Rui Zhao 220 5 0 23 Jan 2024
Spatial-temporal Forecasting for Regions without Observations Xinyu Su Jianzhong Qi E. Tanin Yanchuan Chang Majid Sarvi AI4TS 240 8 0 19 Jan 2024
KITS: Inductive Spatio-Temporal Kriging with Increment Training StrategyAAAI Conference on Artificial Intelligence (AAAI), 2023 Qianxiong Xu Cheng Long Ziyue Li Sijie Ruan Rui Zhao Zhishuai Li 315 11 0 05 Nov 2023
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning Junfeng Hu Xu Liu Zhencheng Fan Yuxuan Liang Roger Zimmermann AI4CE DiffM 146 22 0 26 Oct 2023
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023 Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 372 26 0 24 Oct 2023
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 AI4TS AI4CE 294 301 0 07 Jul 2023