Using Graph Neural Networks to Predict Local Culture

arXiv:2402.17905v1 Announce Type: new
Abstract: Urban research has long recognized that neighbourhoods are dynamic and relational. However, lack of data, methodologies, and computer processing power have hampered a formal quantitative examination of neighbourhood relational dynamics. To make progress on this issue, this study proposes a graph neural network (GNN) approach that permits combining and evaluating multiple sources of information about internal characteristics of neighbourhoods, their past characteristics, and flows of groups among them, potentially providing greater expressive power in predictive …

abstract arxiv computer cs.cy cs.lg cs.si culture data dynamic dynamics gnn graph graph neural network graph neural networks issue network networks neural network neural networks power processing progress quantitative relational research study type urban