56 citations · 207 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
Line Graph Neural Networks for Link Weight Prediction
Jinbi Liang, Cunlai Pu, Xiangbo Shu +2
In real-world networks, predicting the weight (strength) of links is as crucial as predicting the existence of the links themselves. Previous studies have primarily used shallow gr…
Node similarity distribution of complex networks and its application in link prediction
Cunlai Pu, Jie Li, Jian Wang +1
Over the years, quantifying the similarity of nodes has been a hot topic in complex networks, yet little has been known about the distributions of node-similarity. In this paper, w…
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…