Memory exhaustion during large-scale graph instantiation in NetworkX
NetworkX utilizes a dictionary-of-dictionaries data structure to manage nodes and edges, allowing for flexible attribute storage. While this provides versatility, the memory overhead per element is significantly higher than in contiguous array-based structures. When scaling to extremely dense graphs or datasets with millions of edges, the Python process may