I. Introduction
Motifs, also known as graphlets, patterns, or subgraphs, play a crucial role as the foundational elements in networks [1]. The analysis of motifs has proven ingaining insights into network evolution [2], [3], [4], developing advanced graph classification algorithms [5], [6], and fostering cutting-edge clustering techniques [7], [8].valuable in At the core of motif mining and analysis lies the essential task of motif counting, which entails efficiently computing the occurrences of a specific motif (e.g., a triangle, a clique, etc.) within a graph. Moreover, the exploration of motif counting boasts a rich historical background, starting from the origins of triangle counting to its current significant interest in recent years.