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INCREASE: Inductive Graph Representation Learning for Spatio-Temporal
  Kriging

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

6 February 2023
Chuanpan Zheng
Xiaoliang Fan
Cheng-i Wang
Jianzhong Qi
Chaochao Chen
Longbiao Chen
    AI4TS
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Papers citing "INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging"

15 / 15 papers shown
Title
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
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
29
0
0
07 May 2025
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach
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
57
0
0
20 Mar 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
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
DualCast: Disentangling Aperiodic Events from Traffic Series with a
  Dual-Branch Model
DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model
Xinyu Su
Feng Liu
Yanchuan Chang
E. Tanin
Majid Sarvi
Jianzhong Qi
AI4TS
77
0
0
27 Nov 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative
  Graph Neural Network
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
Jialun Zheng
Divya Saxena
Jiannong Cao
Hanchen Yang
Penghui Ruan
AI4TS
19
0
0
20 Sep 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
40
3
0
30 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
42
0
0
02 Aug 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate
  Observations
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
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical
  Learning
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
Zhishuai Li
Yunhao Nie
Ziyue Li
Lei Bai
Yisheng Lv
Rui Zhao
13
5
0
23 Jan 2024
Spatial-temporal Forecasting for Regions without Observations
Spatial-temporal Forecasting for Regions without Observations
Xinyu Su
Jianzhong Qi
E. Tanin
Yanchuan Chang
Majid Sarvi
AI4TS
46
2
0
19 Jan 2024
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
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
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal
  Graph Learning
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
Junfeng Hu
Xu Liu
Zhencheng Fan
Keli Zhang
Roger Zimmermann
AI4CE
DiffM
28
7
0
26 Oct 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
AI4CE
26
14
0
24 Oct 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 Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
44
143
0
07 Jul 2023
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