Scale Free Small World Networks (64 Nodes)

This dataset comprises 1.3 million synthetic graph tensors stored in .pt format, each representing a 64 \u00d7 64 adjacency matrix. The networks were generated to follow scale-free and small-world topologies, properties commonly observed in natural and engineered systems such as neural, social, and communication networks. Each tensor encodes the connectivity structure of a graph, enabling large-scale experimentation in graph theory, network science, machine learning, and active inference research.