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pro vyhledávání: '"Harini Ananthapadmanabhan"'
Autor:
Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-22 (2020)
Abstract Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwise (dyadic) relationships; examp
Externí odkaz:
https://doaj.org/article/20de1f833ff34c0698f3075616408147
Autor:
Srinivasan Parthasarathy, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Balaraman Ravindran, Tarun Kumar
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-22 (2020)
Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwise (dyadic) relationships; examples of th
Autor:
Balaraman Ravindran, Srinivasan Parthasarathy, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Tarun Kumar
Publikováno v:
Complex Networks and Their Applications VIII ISBN: 9783030366865
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
Many real-world systems consist of entities that exhibit complex group interactions rather than simple pairwise relationships; such multi-way relations are more suitably modeled using hypergraphs. In this work, we generalize the framework of modulari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4e2d5160e968c12f830c7cc9c799c22
https://doi.org/10.1007/978-3-030-36687-2_24
https://doi.org/10.1007/978-3-030-36687-2_24