Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Motif detection is a graph algorithm that detects certain local structures in a graph. Although network motif has been studied in graph analytics, e.g., social network and biological network ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...