Elahe Nasiri
Azarbaijan Shahid Madani University
10 Papers
Elahe Nasiri is an academic researcher from Azarbaijan Shahid Madani University. The author has contributed to research in topics: Computer science & Random walk. The author has an hindex of 4, co-authored 8 publications.
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Papers
Review of swarm intelligence-based feature selection methods
TL;DR: A comparative analysis of different feature selection methods is presented, and a general categorization of these methods is performed, which shows the strengths and weaknesses of the different studied swarm intelligence-based feature selection Methods.
370
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding.
TL;DR: Wang et al. as discussed by the authors presented a modified version of Deepwalk based on feature selection for solving link prediction in the protein-protein interaction, which will benefit both network structure and protein features.
107
A modified DeepWalk method for link prediction in attributed social network
TL;DR: Wang et al. as discussed by the authors presented a modified version of deep walk based on pure random walking for solving link prediction in attributed networks, which will be used for both network structure and node attributes.
93
Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding.
TL;DR: Wang et al. as discussed by the authors proposed text-associated DeepWalk-Spectral Clustering (TADW-SC) for attributed networks in which the identified protein complexes have structural cohesiveness and attribute homogeneity.
91
A new link prediction in multiplex networks using topologically biased random walks
TL;DR: The goal of this paper is to propose an extended version of local random walk based on pure random walking for solving link prediction in the multiplex network, referred to as the Multiplex Local Random Walk (MLRW).
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