3 citations · 6 across the 5 of their papers we have counts for
5 papers
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
Mohammadreza Radmanesh, Hossein Ghorbanzadeh, Ahmad Asgharian Rezaei +2
Recently network embedding has gained increasing attention due to its advantages in facilitating network computation tasks such as link prediction, node classification and node clu…
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
Ahmad Asgharian Rezaei, Justin Munoz, Mahdi Jalili +1
Vital node identification is the problem of finding nodes of highest importance in complex networks. This problem has crucial applications in various contexts such as viral marketi…
Influential Node Ranking in Complex Information Networks Using A Randomized Dynamics-Sensitive Approach
Ahmad Asgharian Rezaei, Justin Munoz, Mahdi Jalili +1
Identifying the most influential nodes in information networks has been the focus of many research studies. This problem has crucial applications in various contexts, such as contr…
Parsisanj: a semi-automatic component-based approach towards search engine evaluation
Amin Heydari Alashti, Ahmad Asgharian Rezaei, Alireza Elahi +2
Accessing to required data on the internet is wide via search engines in the last two decades owing to the huge amount of available data and the high rate of new data is generating…
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei +3
Influence maximization is a widely studied topic in network science, where the aim is to reach the maximum possible number of nodes, while only targeting a small initial set of ind…