Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

19 March 2019

Papers citing "Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks"

7 / 7 papers shown

Title
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networks Xin Tan Meng Zhao 37 0 0 09 Sep 2024
Pretrained Mobility Transformer: A Foundation Model for Human Mobility Xinhua Wu Haoyu He Yanchao Wang Qi Wang 37 1 0 29 May 2024
Urban Regional Function Guided Traffic Flow Prediction Kuo Wang Lingbo Liu Yang Liu Guanbin Li Fan Zhou Liang Lin 30 25 0 17 Mar 2023
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 15 22 0 16 Dec 2020
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework Leye Wang Di Chai Xuanzhe Liu Liyue Chen Kai Chen AI4TS 16 29 0 20 Sep 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 32 151 0 17 Oct 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015