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Efficient and effective community search on large-scale bipartite graphs
Bipartite graphs are widely used to model relation-ships between two types of entities.
Community search retrieves densely connected subgraphs containing a query vertex, which …
Community search retrieves densely connected subgraphs containing a query vertex, which …
Efficient (, )-core computation in bipartite graphs
The problem of computing (α, β α, β)-core in a bipartite graph for given α α and β β is a
fundamental problem in bipartite graph analysis and can be used in many applications such …
fundamental problem in bipartite graph analysis and can be used in many applications such …
Efficient community search with size constraint
The studies of k-truss based community search demonstrated that it can find high-quality
personalized com-munities with good properties such as high connectivity and bounded …
personalized com-munities with good properties such as high connectivity and bounded …
Cohesive subgraph search over big heterogeneous information networks: Applications, challenges, and solutions
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 …
information networks (HINs) has received a great deal of attention from both academic and …
Answering billion-scale label-constrained reachability queries within microsecond
In this paper, we study the problem of label-constrained reachability (LCR) query which is
fundamental in many applications with directed edge-label graphs. Although the classical …
fundamental in many applications with directed edge-label graphs. Although the classical …
Hierarchical core maintenance on large dynamic graphs
The model of k-core and its decomposition have been applied in various areas, such as
social networks, the world wide web, and biology. A graph can be decomposed into an …
social networks, the world wide web, and biology. A graph can be decomposed into an …
Firmcore decomposition of multilayer networks
A key graph mining primitive is extracting dense structures from graphs, and this has led to
interesting notions such as k-cores which subsequently have been employed as building …
interesting notions such as k-cores which subsequently have been employed as building …
Size-constrained community search on large networks: An effective and efficient solution
As a fundamental graph problem, community search is applied in various areas, eg, social
networks, the world wide web, and biology. A common requirement from real applications is …
networks, the world wide web, and biology. A common requirement from real applications is …
Cohesive subgraph discovery over uncertain bipartite graphs
In this article, we propose the-core model, which is the first cohesive subgraph model on
uncertain bipartite graphs. To capture the uncertainty of relationships/edges,-degree is …
uncertain bipartite graphs. To capture the uncertainty of relationships/edges,-degree is …
Firmtruss community search in multilayer networks
In applications such as biological, social, and transportation networks, interactions between
objects span multiple aspects. For accurately modeling such applications, multilayer …
objects span multiple aspects. For accurately modeling such applications, multilayer …