Oct 7, 2023 · Title:Generalized Densest Subgraph in Multiplex Networks ... Abstract:Finding dense subgraphs of a large network is a fundamental problem in graph ...

Feb 21, 2024 · The multiplex p-mean density objective uses parameter to model the trade-off between high density and the cumulative importance of layers ...

In this paper, we propose and study a novel extended notion of core in layer-weighted multiplex networks, GFirmCore, where each layer has a weight that ...

Feb 23, 2024 · Existing dense subgraph mining methods in multiplex graphs consider the same importance for different types of connections, while in real-world ...

Existing dense subgraph mining methods in multiplex graphs consider the same importance for different types of connections, while in real-world applications, ...

Oct 7, 2023 · A Survey on the Densest Subgraph Problem and Its Variants · Clustering of Diverse Multiplex Networks.

While the problem of finding the densest subgraph in simple graphs is a well-studied problem [42], finding dense subgraphs from multiplex networks recently ...

the only attempt to generalize the densest-subgraph problem to the multilayer ... nity structure in time-dependent, multiscale, and multiplex networks.

Link prediction in multiplex online social networks. Royal Society Open ... The generalized mean densest subgraph problem. In Proceedings of KDD. 1604 ...

We present a suite of filtering methods for subgraph isomorphisms for multiplex networks (with different types of edges between nodes and more than one edge ...