1 citations · 1 across the 4 of their papers we have counts for
6 papers
Large Scale Community-Aware Network Generation
Vikram Ramavarapu, João Alfredo Cardoso Lamy, Mohammad Dindoost +1
Community detection, or network clustering, is used to identify latent community structure in networks. Due to the scarcity of labeled ground truth in real-world networks, evaluati…
On the Optimization of Methods for Establishing Well-Connected Communities
Mohammad Dindoost, Oliver Alvarado Rodriguez, Bartosz Bryg +4
Community detection plays a central role in uncovering meso scale structures in networks. However, existing methods often suffer from disconnected or weakly connected clusters, und…
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis
Atieh Barati Nia, Mohammad Dindoost, David A. Bader
Large Language Models (LLMs) are increasingly used to automate software development, yet most prior evaluations focus on functional correctness or high-level languages such as Pyth…
HiPerMotif: Novel Parallel Subgraph Isomorphism in Large-Scale Property Graphs
Mohammad Dindoost, Oliver Alvarado Rodriguez, Bartosz Bryg +2
Subgraph isomorphism, essential for pattern detection in large-scale graphs, faces scalability challenges in attribute-rich property graphs used in neuroscience, systems biology, a…
Contour Algorithm for Connectivity
Zhihui Du, Oliver Alvarado Rodriguez, Fuhuan Li +2
Finding connected components in a graph is a fundamental problem in graph analysis. In this work, we present a novel minimum-mapping based Contour algorithm to efficiently solve th…
Business Model Canvas for Micro Operators in 5G Coopetitive Ecosystem
Javane Rostampoor, Roghayeh Joda, Mohammad Dindoost
In order to address the need for more capacity and coverage in the 5th generation (5G) of wireless networks, ultra-dense wireless networks are introduced which mainly consist of in…