Kriging Convolutional Networks

15 June 2023

Papers citing "Kriging Convolutional Networks"

15 / 15 papers shown

Title
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
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
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 27 0 0 27 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
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
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
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation Jia Li Yanyan Shen Lei Chen Charles Wang Wai Ng 22 3 0 27 Nov 2023
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy Qianxiong Xu Cheng Long Ziyue Li Sijie Ruan Rui Zhao Zhishuai Li 37 7 0 05 Nov 2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging Chuanpan Zheng Xiaoliang Fan Cheng-i Wang Jianzhong Qi Chaochao Chen Longbiao Chen AI4TS 23 19 0 06 Feb 2023
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 35 38 0 29 Sep 2022
Positional Encoder Graph Neural Networks for Geographic Data Konstantin Klemmer Nathan Safir Daniel B. Neill GNN 22 34 0 19 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 69 114 0 07 Nov 2021
Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu Dingyi Zhuang A. Labbe Lijun Sun AI4CE 25 144 0 13 Jun 2020
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,732 0 18 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015