Network topology is a fundamental aspect of network science that allows us to gather insights into the complicated relational architectures of the world we inhabit. We provide a first specific study ...

Graph representation learning has emerged as a unifying framework for analysing relational data by mapping entities and their interactions within a network into low‐dimensional vector spaces. These ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...