Introducing Graph Learning over Polytopic Uncertain Graph
<|reference_start|>Introducing Graph Learning over Polytopic Uncertain Graph: This extended abstract introduces a class of graph learning applicable to cases where the underlying graph has polytopic uncertainty, i.e., the graph is not exactly known, but its parameters or properties vary within a known range. By incorporating this assumption that the graph lies in a polytopic set into two established graph learning frameworks, we find that our approach yields better results with less computation.<|reference_end|>
@article{kishida2024introducing,
    title={Introducing Graph Learning over Polytopic Uncertain Graph},
    author={Masako Kishida and Shunsuke Ono},
    journal={arXiv preprint arXiv:2404.08176},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.08176},
    primaryClass={eess.SP cs.LG}
}