# Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications

@article{Stankovic2020GraphSP, title={Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications}, author={L. Stankovic and D. Mandic and Milos Dakovic and M. Brajovic and Bruno Scalzo and Shengxi Li and A. Constantinides}, journal={ArXiv}, year={2020}, volume={abs/2001.00426} }

Many modern data analytics applications on graphs operate on domains where graph topology is not known a priori, and hence its determination becomes part of the problem definition, rather than serving as prior knowledge which aids the problem solution. Part III of this monograph starts by addressing ways to learn graph topology, from the case where the physics of the problem already suggest a possible topology, through to most general cases where the graph topology is learned from the data. A… CONTINUE READING

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