Abstract: Temporal interactions form the crux of numerous real-world scenarios, thus necessitating effective modeling in temporal graph representation learning. Despite extensive research within this ...
Abstract: This study investigates Modular Multiplicative Divisor (MMD) labeling in gangs of cycle graphs, a structure that has been largely unexplored in graph theory. The work aims to identify ...
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