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A survey on the densest subgraph problem and its variants
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 …
whose induced subgraph maximizes a measure of density. The problem has received a …
Efficient and effective algorithms for generalized densest subgraph discovery
The densest subgraph problem (DSP) is of great significance due to its wide applications in
different domains. Meanwhile, diverse requirements in various applications lead to different …
different domains. Meanwhile, diverse requirements in various applications lead to different …
Finding dense and persistently expansive subgraphs
How can we detect a group of individuals whose connectivity persists and even strengthens
over time? Despite extensive research on temporal networks, this practically pertinent …
over time? Despite extensive research on temporal networks, this practically pertinent …
Interrelated Dense Pattern Detection in Multilayer Networks
Given a heterogeneous multilayer network with various connections in pharmacology, how
can we detect components with intensive interactions and strong dependencies? Can we …
can we detect components with intensive interactions and strong dependencies? Can we …
Dense subgraphs in temporal social networks
Interactions among entities are usually modeled using graphs. In many real scenarios, these
relations may change over time, and different kinds exist among entities that need to be …
relations may change over time, and different kinds exist among entities that need to be …
Faster streaming and scalable algorithms for finding directed dense subgraphs in large graphs
Finding dense subgraphs is a fundamental algorithmic tool in data mining, community
detection, and clustering. In this problem, one aims to find an induced subgraph whose edge …
detection, and clustering. In this problem, one aims to find an induced subgraph whose edge …