18 citations · 19 across the 5 of their papers we have counts for
5 papers
IGA-LWP: An Iterative Gradient-based Adversarial Attack for Link Weight Prediction
Cunlai Pu, Xingyu Gao, Jinbi Liang +4
Link weight prediction extends classical link prediction by estimating the strength of interactions rather than merely their existence, and it underpins a wide range of application…
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu, Fangrui Wu, Rajput Ramiz Sharafat +2
Link prediction in unmanned aerial vehicle (UAV) ad hoc networks (UANETs) aims to predict the potential formation of future links between UAVs. In adversarial environments where th…
Entropy-based link prediction in weighted networks
Zhongqi Xu, Cunlai Pu, Rajput Ramiz Sharafat +2
Information entropy has been proved to be an effective tool to quantify the structural importance of complex networks. In the previous work (Xu et al, 2016 \cite{xu2016}), we measu…
Multiple predator based capture process on complex networks
Rajput Ramiz Sharafat, Jie Li, Cunlai Pu +1
The predator/prey (capture) problem is a prototype of many network-related applications. We study the capture process on complex networks by considering multiple predators from mul…
Traffic dynamics on dynamical networks: The connection between network lifetime and traffic congestion
Xianxia Yang, Cunlai Pu, Meichen Yan +2
For many power-limited networks, such as wireless sensor networks and mobile ad hoc networks, maximizing the network lifetime is the first concern in the related designing and main…