Graph-Based Deep Modeling and Real Time Forecasting of Sparse
Spatio-Temporal Data

Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data

2 April 2018

Bao Wang

Andrea L. Bertozzi

Papers citing "Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data"

7 / 7 papers shown

Title
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 23 3 0 13 Jun 2023
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions Selim Furkan Tekin Suleyman Serdar Kozat 29 12 0 29 Nov 2021
Event Prediction in the Big Data Era: A Systematic Survey Liang Zhao AI4TS 27 53 0 19 Jul 2020
Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees Oguzhan Karaahmetoglu Suleyman Serdar Kozat 3DPC 19 0 0 07 Mar 2020
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework Zhengyang Zhou Yang Wang Xike Xie Lianliang Chen Hengchang Liu 19 119 0 19 Feb 2020
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 38 151 0 17 Oct 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 26 549 0 11 Jun 2019