8 citations · 24 across the 25 of their papers we have counts for
5 papers · 1 filter
Strong Transitivity Relations and Graph Neural Networks
Yassin Mohamadi, Mostafa Haghir Chehreghani
Local neighborhoods play a crucial role in embedding generation in graph-based learning. It is commonly believed that nodes ought to have embeddings that resemble those of their ne…
Multilevel User Credibility Assessment in Social Networks
Mohammad Moradi, Mostafa Haghir Chehreghani
Online social networks serve as major platforms for disseminating both real and fake news. Many users--intentionally or unintentionally--spread harmful content, misinformation, and…
Effectively Counting s-t Simple Paths in Directed Graphs
Mostafa Haghir Chehreghani
An important tool in analyzing complex social and information networks is s-t simple path counting, which is known to be #P-complete. In this paper, we study efficient s-t simple p…
Generalized Centrality Aggregation and Exclusive Centrality
Mostafa Haghir Chehreghani
There are several applications that benefit from a definition of centrality which is applicable to sets of vertices, rather than individual vertices. However, existing definitions…
Modeling Transitivity in Complex Networks
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
An important source of high clustering coefficient in real-world networks is transitivity. However, existing approaches for modeling transitivity suffer from at least one of the fo…