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 …
variety of numerical data, including tax records, and election outcomes, and has been used …
A Similarity-based Approach for Efficient Large Quasi-clique Detection
Identifying dense subgraphs called quasi-cliques is pivotal in various graph mining tasks
across domains like biology, social networks, and e-commerce. However, recent algorithms …
across domains like biology, social networks, and e-commerce. However, recent algorithms …
Dense and well-connected subgraph detection in dual networks
Dense subgraph discovery is a fundamental problem in graph mining whose goal is to
extract a dense subgraph from a given graph, and it has a wide range of applications [18] …
extract a dense subgraph from a given graph, and it has a wide range of applications [18] …