Streaming data, characterized by its temporal variations and large volumes, presents unique challenges for clustering tasks. To address these challenges, this paper proposes a novel weighted ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have developed a novel algorithm that significantly improves the analysis of ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream processing.