Hypergraph References

[1]

Amit Surana, Can Chen, and Indika Rajapakse. Hypergraph similarity measures. IEEE Transactions on Network Science and Engineering, pages 1-16, 2022.

[2]

Zvi Drezner. Multirelation—a correlation among more than two variables. Computational Statistics & Data Analysis, 19(3):283–292, 1995.

[3]

Jianji Wang and Nanning Zheng. Measures of correlation for multiple variables. arXiv preprint arXiv:1401.4827, 2014.

[4]

Benjamin M Taylor. A multi-way correlation coefficient. arXiv preprint arXiv:2003.02561, 2020.

[5]

Yang, Chaoqi, et al. “Hypergraph learning with line expansion.” arXiv preprint arXiv:2005.04843 (2020).

[6]

Bolla, M. (1993). Spectra, euclidean representations and clusterings of hypergraphs. Discrete Mathematics, 117. https://www.sciencedirect.com/science/article/pii/0012365X9390322K

[7]

Rodriguez, J. A. (2002). On the Laplacian eigenvalues and metric parameters of hypergraphs. Linear and Multilinear Algebra, 50(1), 1-14. https://www.tandfonline.com/doi/abs/10.1080/03081080290011692

[8]

Rodriguez, J. A. (2003). On the Laplacian spectrum and walk-regular hypergraphs. Linear and Multilinear Algebra, 51, 285–297. https://www.tandfonline.com/doi/abs/10.1080/0308108031000084374

[9]

Zhou, D., Huang, J., & Schölkopf, B. (2005). Beyond pairwise classification and clustering using hypergraphs. (Equation 3.3) https://dennyzhou.github.io/papers/hyper_tech.pdf

[10]

3. Chen and I. Rajapakse, Tensor Entropy for Uniform Hypergraphs, IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020) https://arxiv.org/pdf/1912.09624.pdf

[11]

Chen C, Surana A, Bloch A, Rajapakse I. “Controllability of Hypergraphs.” IEEE Transactions on Network Science and Engineering, 2021. https://drive.google.com/file/d/12aReE7mE4MVbycZUxUYdtICgrAYlzg8o/view

[12]

Tudisco, F., Higham, D.J. Node and edge nonlinear eigenvector centrality for hypergraphs. Commun Phys 4, 201 (2021). https://doi.org/10.1038/s42005-021-00704-2

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