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cs.LG2026
BUILD with Precision: Bottom-Up Inference of Linear DAGs
Hamed Ajorlou, Samuel Rey, Gonzalo Mateos +2
Learning the structure of directed acyclic graphs (DAGs) from observational data is a central problem in causal discovery, statistical signal processing, and machine learning. Unde…
cs.LG2025
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
Wenzhong Yan, Feng Yin, Juntao Wang +3
In this paper, we design Graph Neural Networks (GNNs) with attention mechanisms to tackle an important yet challenging nonlinear regression problem: massive network localization. W…