Because of multigraph dimensionality, considerable memory resources are required. The high dimensionality of the system can be attributed to two key factors: the extensive node feature set and the large number of nodes and edges. In our implementation, the node features are represented as vectors using one-hot encoding, resulting in a substantial length of 2450 dimensions. To ensure the accuracy and uniqueness of the feature set, all the features must be stored in memory throughout the graph construction process.