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M. Hosseinzadeh

4 papers hereh-index 8219 citations36 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DS4
same name
  • M. Hosseinzadeh — 13 papers, h 25
  • M. Hosseinzadeh — 7 papers, h 11
  • M. Hosseinzadeh — 5 papers, h 8
  • M. Hosseinzadeh — 4 papers, h 66
  • M. Hosseinzadeh — 2 papers, h 14
  • M. Hosseinzadeh — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedTop-k Overlapping Densest Subgraphs: Approximation and Complexity

4 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.DS2026

Testing Robustness of Temporal Transportation Networks via Interval Separators

Riccardo Dondi, Mohammad Mehdi Hosseinzadeh

This paper addresses the problem of identifying time interval separators in temporal networks. We introduce d-MinIntSep, a new variant of the temporal separator problem, which mode…

cs.DS2021

Finding Colorful Paths in Temporal Graphs

Riccardo Dondi, Mohammad Mehdi Hosseinzadeh

The problem of finding paths in temporal graphs has been recently considered due to its many applications. In this paper we consider a variant of the problem that, given a vertex-c…

cs.DS2020

Top-k Connected Overlapping Densest Subgraphs in Dual Networks

Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh

Networks are largely used for modelling and analysing data and relations among them. Recently, it has been shown that the use of a single network may not be the optimal choice, sin…

cs.DS2018★ 4 cited

Top-k Overlapping Densest Subgraphs: Approximation and Complexity

Riccardo Dondi, Mohammad Mehdi Hosseinzadeh, Giancarlo Mauri +1

A central problem in graph mining is finding dense subgraphs, with several applications in different fields, a notable example being identifying communities. While a lot of effort…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.