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Group-based fraud detection network on e-commerce platforms
Along with the rapid technological and commercial innovation on the e-commerce platforms,
there are an increasing number of frauds that bring great harm to these platforms. Many …
there are an increasing number of frauds that bring great harm to these platforms. Many …
Maximal defective clique enumeration
Maximal clique enumeration is a fundamental operator in graph analysis. The model of
clique, however, is typically too restrictive for real-world applications as it requires an edge …
clique, however, is typically too restrictive for real-world applications as it requires an edge …
Distributed (α, β)-core decomposition over bipartite graphs
(α, β)-core is an important cohesive subgraph model for bipartite graphs. Given a bipartite
graph G, the problem of (α, β)-core decomposition is to compute non-empty (α, β)-cores for …
graph G, the problem of (α, β)-core decomposition is to compute non-empty (α, β)-cores for …
Efficient core maintenance in large bipartite graphs
As an important cohesive subgraph model in bipartite graphs, the (α, β)-core (aka bi-core)
has found a wide spectrum of real-world applications, such as product recommendation …
has found a wide spectrum of real-world applications, such as product recommendation …
Hereditary cohesive subgraphs enumeration on bipartite graphs: The power of pivot-based approaches
Finding cohesive subgraphs from a bipartite graph is a fundamental operator in bipartite
graph analysis. In this paper, we focus on the problem of mining cohesive subgraphs from a …
graph analysis. In this paper, we focus on the problem of mining cohesive subgraphs from a …
Fast maximal quasi-clique enumeration: A pruning and branching co-design approach
Mining cohesive subgraphs from a graph is a fundamental problem in graph data analysis.
One notable cohesive structure is γ-quasi-clique (QC), where each vertex connects at least a …
One notable cohesive structure is γ-quasi-clique (QC), where each vertex connects at least a …
Maximum k-biplex search on bipartite graphs: A symmetric-bk branching approach
Enumerating maximal k-biplexes (MBPs) of a bipartite graph has been used for applications
such as fraud detection. Nevertheless, there usually exists an exponential number of MBPs …
such as fraud detection. Nevertheless, there usually exists an exponential number of MBPs …
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms
Along with the rapid technological and commercial innovation on e-commerce platforms, an
increasing number of frauds cause great harm to these platforms. Many frauds are …
increasing number of frauds cause great harm to these platforms. Many frauds are …
Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries
Evolving graphs consisting of slices are large and constantly changing. For example, in
Alipay, the graph generates hundreds of millions of new transaction records every day …
Alipay, the graph generates hundreds of millions of new transaction records every day …
A survey of densest subgraph discovery on large graphs
With the prevalence of graphs for modeling complex relationships among objects, the topic
of graph mining has attracted a great deal of attention from both academic and industrial …
of graph mining has attracted a great deal of attention from both academic and industrial …