Given a directed graph G, the directed densest subgraph (DDS) problem refers to the finding of a subgraph from G, whose density is the highest among all the subgraphs of G. The DDS problem is fundamental to a wide range of applications, such as fraud detection, community mining, and graph compression.
Nov 15, 2021 · In this article, we study the problem of finding the densest subgraph from a directed graph G, which was first proposed by Kannan and Vinay.
Nov 7, 2023 · In this paper, we explore alternative density measures and propose corresponding algorithms, for directed densest subgraph identification.
The DDS problem is fundamental to a wide range of applications, such as fraud detection, community mining, and graph compression.
The well-studied directed densest subgraph problem aims to find two (possibly overlapping) vertex subsets \(S^*\) and \(T^*\) in a given directed graph ...
In this paper we focus on developing fast polynomial time algorithms for several variations of dense subgraph problems for both directed and undirected graphs.
Nov 7, 2023 · The well-studied directed densest subgraph problem aims to find two (possibly overlapping) vertex subsets $$S^*$$ and $$T^*$$ in a given ...
The well-studied directed densest subgraph problem aims to find two (possibly overlapping) vertex subsets S ∗ and T ∗ in a given directed graph G = ( V ...
Dec 31, 2023 · Given a directed graph G, the directed densest subgraph (DDS) problem refers to finding a subgraph from G, whose density is the highest ...
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An efficient and scalable DDS solution is developed based on the notion of [x, y]-core, which is a dense subgraph for G, and it is shown that the densest ...