A survey on the densest subgraph problem and its variants

T Lanciano, A Miyauchi, A Fazzone, F Bonchi - ACM Computing Surveys, 2024 - dl.acm.org
The Densest Subgraph Problem requires us to find, in a given graph, a subset of vertices
whose induced subgraph maximizes a measure of density. The problem has received a …

Effective and efficient community search over large heterogeneous information networks

Y Fang, Y Yang, W Zhang, X Lin, X Cao - Proceedings of the VLDB …, 2020 - dl.acm.org
Recently, the topic of community search (CS) has gained plenty of attention. Given a query
vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …

Antibenford subgraphs: Unsupervised anomaly detection in financial networks

T Chen, C Tsourakakis - Proceedings of the 28th ACM SIGKDD …, 2022 - dl.acm.org
Benford's law describes the distribution of the first digit of numbers appearing in a wide
variety of numerical data, including tax records, and election outcomes, and has been used …

Densest subgraph: Supermodularity, iterative peeling, and flow

C Chekuri, K Quanrud, MR Torres - Proceedings of the 2022 Annual ACM …, 2022 - SIAM
The densest subgraph problem in a graph (DSG), in the simplest form, is the following.
Given an undirected graph G=(V, E) find a subset S⊆ V of vertices that maximizes the ratio …

DeepTEA: Effective and efficient online time-dependent trajectory outlier detection

X Han, R Cheng, C Ma, T Grubenmann - Proceedings of the VLDB …, 2022 - dl.acm.org
In this paper, we study anomalous trajectory detection, which aims to extract abnormal
movements of vehicles on the roads. This important problem, which facilitates understanding …

Faster and scalable algorithms for densest subgraph and decomposition

E Harb, K Quanrud, C Chekuri - Advances in Neural …, 2022 - proceedings.neurips.cc
We study the densest subgraph problem (DSG) and the densest subgraph local
decomposition problem (DSG-LD) in undirected graphs. We also consider supermodular …

Scaling up k-clique densest subgraph detection

Y He, K Wang, W Zhang, X Lin, Y Zhang - … of the ACM on Management of …, 2023 - dl.acm.org
In this paper, we study the k-clique densest subgraph problem, which detects the subgraph
that maximizes the ratio between the number of k-cliques and the number of vertices in it …

Cohesive subgraph search over big heterogeneous information networks: Applications, challenges, and solutions

Y Fang, K Wang, X Lin, W Zhang - Proceedings of the 2021 International …, 2021 - dl.acm.org
With the advent of a wide spectrum of recent applications, querying heterogeneous
information networks (HINs) has received a great deal of attention from both academic and …

A counting-based approach for efficient K-clique densest subgraph discovery

Y Zhou, Q Guo, Y Fang, C Ma - Proceedings of the ACM on Management …, 2024 - dl.acm.org
Densest subgraph discovery (DSD) is a fundamental topic in graph mining. It has been
extensively studied in the literature and has found many real applications in a wide range of …

Effective community search over large star-schema heterogeneous information networks

Y Jiang, Y Fang, C Ma, X Cao, C Li - Proceedings of the VLDB …, 2022 - dl.acm.org
Community search (CS) enables personalized community discovery and has found a wide
spectrum of emerging applications such as setting up social events and friend …