Network Science Informs AI (NSIA) 2026

Network Science Informs AI (NSIA) 2026 explores the bidirectional relationship between network science and artificial intelligence—examining both how graph-theoretic and network analytic tools can improve AI systems and how AI methods can reveal new structure in complex networks. As graph neural networks and relational learning reshape machine learning, the time is ripe for a dedicated forum on this exchange.

Researchers in graph machine learning, complex systems, social network analysis, knowledge graphs, and AI will find NSIA directly relevant. Sessions address community detection, link prediction, network robustness, GNN architectures, and the application of network thinking to domains including biology, finance, and misinformation. The workshop fosters genuine dialogue between communities that often publish in parallel, making it a valuable venue for researchers who want their network science grounded in AI advances and their AI systems informed by network structure.