Disentangled Spatiotemporal Graph Generative Models

28 February 2022

Papers citing "Disentangled Spatiotemporal Graph Generative Models"

9 / 9 papers shown

Title
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Yu Wang Tongya Zheng Shunyu Liu Zunlei Feng Kaixuan Chen Yunzhi Hao Min-Gyoo Song 18 7 0 15 Jun 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 11 1 0 28 Jan 2023
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 42 14 0 01 Oct 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 19 86 0 28 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 21 67 0 13 Mar 2022
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning Ziming Liu Yunyue Chen Yuanqi Du Max Tegmark PINN AI4CE 35 22 0 28 Sep 2021
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network Amit Roy Kashob Kumar Roy A. Ali M. A. Amin A. Rahman AI4TS 49 28 0 26 Apr 2021
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 12 145 0 13 Jul 2020