157 citations · 159 across the 4 of their papers we have counts for
9 papers
Solving Fokker-Planck equation using deep learning
Yong Xu, Hao Zhang, Yongge Li +3
The probability density function of stochastic differential equations is governed by the Fokker-Planck (FP) equation. A novel machine learning method is developed to solve the gene…
A belief combination rule for a large number of sources
Kuang Zhou, Arnaud Martin, Quan Pan
The theory of belief functions is widely used for data from multiple sources. Different evidence combination rules have been proposed in this framework according to the properties…
Evidential community detection based on density peaks
Kuang Zhou, Quan Pan, Arnaud Martin
Credal partitions in the framework of belief functions can give us a better understanding of the analyzed data set. In order to find credal community structure in graph data sets,…
Evidence combination for a large number of sources
Kuang Zhou, Arnaud Martin, Quan Pan
The theory of belief functions is an effective tool to deal with the multiple uncertain information. In recent years, many evidence combination rules have been proposed in this fra…
The Advantage of Evidential Attributes in Social Networks
Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune +2
Nowadays, there are many approaches designed for the task of detecting communities in social networks. Among them, some methods only consider the topological graph structure, while…
Evidential Label Propagation Algorithm for Graphs
Kuang Zhou, Arnaud Martin, Quan Pan +1
Community detection has attracted considerable attention crossing many areas as it can be used for discovering the structure and features of complex networks. With the increasing s…