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eess.SP2025
Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling
Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz
Assessing homophily in large-scale networks is central to understanding structural regularities in graphs, and thus inform the choice of models (such as graph neural networks) adop…
eess.SP2025
Directed Acyclic Graph Convolutional Networks
Samuel Rey, Hamed Ajorlou, Gonzalo Mateos
Directed acyclic graphs (DAGs) are central to science and engineering applications including causal inference, scheduling, and neural architecture search. In this work, we introduc…