Elena V. Konstantinova, Maxim V. Vidyuk, “Discriminating Tests of Information and Topological Indices. Animals and Trees”, J. Chem. Inf. Comput. Sci., 43, № 6, 2003, 1860
Niels Johan Christensen, Susana Murtinheira da Trindade Leitão, Mikael Agerlin Petersen, Birthe Møller Jespersen, Søren Balling Engelsen, “A Quantitative Structure−Property Relationship Study of the Release of Some Esters and Alcohols from Barley and Oat β-Glucan Matrices”, J. Agric. Food Chem., 57, № 11, 2009, 4924
Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Shailesh Tripathi, Abbe Mowshowitz, Alexei Levitchi, Lihua Feng, Yongtang Shi, Jin Tao, Irene Sendiña-Nadal, “Measuring the complexity of directed graphs: A polynomial-based approach”, PLoS ONE, 14, № 11, 2019, e0223745
Izudin Redžepović, Boris Furtula, “Comparative study on structural sensitivity of eigenvalue–based molecular descriptors”, J Math Chem, 59, № 2, 2021, 476
Matthias Dehmer, Frank Emmert-Streib, Martin Grabner, “A computational approach to construct a multivariate complete graph invariant”, Information Sciences, 260, 2014, 200
Matthias Dehmer, Yongtang Shi, Frank Emmert-Streib, “The Uniqueness of -Matrix Graph Invariants”, PLoS ONE, 9, № 1, 2014, e83868
R. Put, Q.S. Xu, D.L. Massart, Y. Vander Heyden, “Multivariate adaptive regression splines (MARS) in chromatographic quantitative structure–retention relationship studies”, Journal of Chromatography A, 1055, № 1-2, 2004, 11
Matthias Dehmer, Frank Emmert-Streib, Niko Tratnik, Petra Žigert Pleteršek, “Szeged-like entropies of graphs”, Applied Mathematics and Computation, 431, 2022, 127325
Elena Konstantinova, Towards an Information Theory of Complex Networks, 2011, 97
Matthias Dehmer, Frank Emmert-Streib, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi, “Highly unique network descriptors based on the roots of the permanental polynomial”, Information Sciences, 408, 2017, 176