Graph signal processing with categorical perspective

In this paper, we propose a framework for graph signal processing using category theory. The aim is to generalize a few recent works on probabilistic approaches to graph signal processing, which handle signal and graph uncertainties.

Advanced Graph Neural Networks Bayesian Modeling and Causal Inference Complex Network Analysis Techniques

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