Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph
Diffusion Infomax

Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax

12 December 2022

Yang Liu

Papers citing "Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax"

8 / 8 papers shown

Title
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu Ziqi Gao Tingyang Xu Yang Liu Yatao Bian Yu Rong Junzhou Huang Jia Li 68 0 0 03 Mar 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Yang Liu Zinan Zheng Jiashun Cheng Fugee Tsung Deli Zhao Yu Rong J. Li 76 1 0 27 Feb 2025
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng Yang Liu Jia Li Jianhua Yao Yu Rong AI4CE 43 1 0 24 Jun 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei-dong Jin AI4CE 34 37 0 28 Mar 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining Haihong Zhao Aochuan Chen Xiangguo Sun Hong Cheng Jia Li 38 33 0 15 Feb 2024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 36 143 0 07 Jul 2023
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series Jiawen Zhang Shun Zheng Wei Cao Jiang Bian Jia Li AI4TS 24 24 0 14 Jun 2023
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 93 163 0 15 Feb 2021