Title
Global Citation Recommendation employing Multi-view Heterogeneous Network Embedding
Abstract
The enormous number of research papers on the Web motivated researchers to propose models that could assist users with personalized citation recommendations. Recently, Citation Recommendation (CR) models applying Network Representation Learning (NRL) techniques have revealed promising outcomes. Still, current NRL-based models are limited in terms of employing salient factors and relations between ...
Year
DOI
Venue
2021
10.1109/CISS50987.2021.9400311
2021 55th Annual Conference on Information Sciences and Systems (CISS)
Keywords
DocType
ISBN
Measurement,Semantics,Heterogeneous networks
Conference
978-1-6654-1268-1
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Zafar Ali120.69
Guilin Qi200.68
Muhammad Waqas Khan3175.47
Asim Khalil400.34
Inam Ullah501.35
Amin Khan600.34