Moreover, it is important to acknowledge that constructing these multigraphs is not a single-step process but rather an iterative one. The algorithm iterates through each structure, progressively incorporating features into the evolving graph representation. Due to the significant amount of data and structures involved, managing these multigraphs is memory-intensive. Furthermore, we encountered issues when attempting to save the generated graphs using "torch.save.". During the serialization process performed by torch, the graph data is temporarily stored in memory before being written to the disk. This intermediate storage adds an extra memory overhead, impacting overall memory usage.