Hypergraph Laplacians in Diffusion Framework-Reference-Cited by-同舟云学术

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Hypergraph Laplacians in Diffusion Framework

Published:2022 Issue: Volume: Page:277-288
ISSN:1860-949X
Container-title:Complex Networks & Their Applications X
language:
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Author:

Aktas Mehmet Emin,Akbas Esra

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93413-2_24

Reference31 articles.

1. Aggarwal, C.C., Wang, H.: Managing and Mining Graph Data, vol. 40. Springer, Heidelberg (2010). https://doi.org/10.1007/978-1-4419-6045-0

2. Aktas, M.E., Akbas, E., Fatmaoui, A.E.: Persistence homology of networks: methods and applications. Appl. Netw. Sci. 4(1), 1–28 (2019). https://doi.org/10.1007/s41109-019-0179-3

3. Battiston, F., et al.: Networks beyond pairwise interactions: structure and dynamics. arXiv preprint arXiv:2006.01764 (2020)

4. Benson, A.R., Abebe, R., Schaub, M.T., Jadbabaie, A., Kleinberg, J.: Simplicial closure and higher-order link prediction. Proc. Natl. Acad. Sci. 115(48), E11221–E11230 (2018)

5. Carletti, T., Battiston, F., Cencetti, G., Fanelli, D.: Random walks on hypergraphs. Phys. Rev. E 101(2), 022308 (2020)

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1. Simplicial Complex Neural Networks;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

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