1 code implementation • 14 Oct 2022 • Tiantian Chen, Siwen Yan, Jianxiong Guo, Weili Wu
Aiming at selecting a small subset of nodes with maximum influence on networks, the Influence Maximization (IM) problem has been extensively studied.
no code implementations • 15 Mar 2022 • Tiantian Chen, Jianxiong Guo, Weili Wu
In this paper, we present a comprehensive review for existing works using GRL methods for popularity prediction problem, and categorize related literatures into two big classes, according to their mainly used model and techniques: embedding-based methods and deep learning methods.
no code implementations • 11 Oct 2021 • Runjia Du, Sikai Chen, Jiqian Dong, Tiantian Chen, Xiaowen Fu, Samuel Labi
To address this question, this study proposes a two-stage model that combines GAQ (Graph Attention Network - Deep Q Learning) and EBkSP (Entropy Based k Shortest Path) using a fog-cloud architecture, to reroute vehicles in a dynamic urban environment and therefore to improve travel efficiency in terms of travel speed.
no code implementations • 11 Oct 2021 • Jiqian Dong, Sikai Chen, Shuya Zong, Tiantian Chen, Mohammad Miralinaghi, Samuel Labi
The results demonstrate the efficacy of our proposed model as it exhibits superior performance (in terms of correct prediction of actions and explanations) compared to the benchmark model by a significant margin with lower computational cost.
no code implementations • 15 Jan 2021 • Tiantian Chen, Bin Liu, Wenjing Liu, Qizhi Fang, Jing Yuan, Weili Wu
Through "word of mouth" effects, information or product adoption could spread from some influential individuals to millions of users in social networks.
Social and Information Networks