1.2k citations · 2k across the 19 of their papers we have counts for
19 papers
Identifying critical nodes in complex networks by graph representation learning
Enyu Yu, Duanbing Chen, Yan Fu +1
Because of its wide application, critical nodes identification has become an important research topic at the micro level of network science. Influence maximization is one of the ma…
Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks
Zhouyang Xie, Yan Fu, Shengzhao Tian +2
Channel pruning is a promising technique to compress the parameters of deep convolutional neural networks(DCNN) and to speed up the inference. This paper aims to address the long-s…
Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
En-Yu Yu, Yan Fu, Jun-Lin Zhou +2
Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between node…
Finding important edges in networks through local information
En-Yu Yu, Yan Fu, Jun-Lin Zhou +1
In transportation, communication, social and other real complex networks, some critical edges act a pivotal part in controlling the flow of information and maintaining the integrit…
Control Efficacy on COVID-19
Duanbing Chen, Tao Zhou
We proposed a Monte-Carlo method to estimate temporal reproduction number without complete information about symptom onsets of all cases. Province-level analysis demonstrated the h…
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
Wen-Bo Xie, Yan-Li Lee, Cong Wang +2
Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance. It has found successful applications in all natural a…