29 citations · 94 across the 25 of their papers we have counts for
6 papers · 1 filter
A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement
Farnoosh Hashemi, Ali Behrouz
In many complex systems, the interactions between objects span multiple aspects. Multiplex networks are accurate paradigms to model such systems, where each edge is associated with…
Generalized Densest Subgraph in Multiplex Networks
Ali Behrouz, Farnoosh Hashemi
Finding dense subgraphs of a large network is a fundamental problem in graph mining that has been studied extensively both for its theoretical richness and its many practical appli…
CS-TGN: Community Search via Temporal Graph Neural Networks
Farnoosh Hashemi, Ali Behrouz, Milad Rezaei Hajidehi
Searching for local communities is an important research challenge that allows for personalized community discovery and supports advanced data analysis in various complex networks,…
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Ali Behrouz, Farnoosh Hashemi
Community Search (CS) is one of the fundamental tasks in network science and has attracted much attention due to its ability to discover personalized communities with a wide range…
FirmCore Decomposition of Multilayer Networks
Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan
A key graph mining primitive is extracting dense structures from graphs, and this has led to interesting notions such as -cores which subsequently have been employed as building…
FirmTruss Community Search in Multilayer Networks
Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan
In applications such as biological, social, and transportation networks, interactions between objects span multiple aspects. For accurately modeling such applications, multilayer n…