Higher-Order Networks Representation and Learning: A Comprehensive Survey

The authors explore the evolution of network data from dyadic to higher-order structures, focusing on motifs, simplicial complexes, and hypergraphs. They aim to provide a detailed overview of advanced techniques in higher-order network analysis.