Motifs are the fundamental components of complex systems. The topological structure of
networks representing complex systems and the frequency and distribution of motifs in these …

The notion of graph which is most useful in computer science is that of a directed graph or
just a graph. A graph is a combinatorial structure consisting of a finite nonempty set of …

We propose GraphMineSuite (GMS): the first benchmarking suite for graph mining that
facilitates evaluating and constructing high-performance graph mining algorithms. First …

The identification of influential nodes in complex networks has been widely used to
suppress rumor dissemination and control the spread of epidemics and diseases. However …

Computation on sparse data is becoming increasingly important for many applications.
Recent sparse computation accelerators are designed for specific algorithm/application …

Graph mining has been a popular research area because of its numerous application
scenarios. Many unstructured and structured data can be represented as graphs, such as …

In this paper we present a fast and accurate procedure called clustered low rank matrix
approximation for massive graphs. The procedure involves a fast clustering of the graph and …

Networks are known as perfect tools for modeling various types of systems. In the literature
of network mining, frequent subgraph mining is considered as the essence of mining …

Graph databases have gained popularity in recent years because many data use graphs as
easy and intuitive representations. The task of Graph Mining focuses on identifying …

Disease processes are usually driven by several genes interacting in molecular modules or
pathways leading to the disease. The identification of such modules in gene or protein …