Elena V. Konstantinova, Maxim V. Vidyuk, “Discriminating Tests of Information and Topological Indices. Animals and Trees”, J. Chem. Inf. Comput. Sci., 43, no. 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, no. 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, no. 11, 2019, e0223745
Izudin Redžepović, Boris Furtula, “Comparative study on structural sensitivity of eigenvalue–based molecular descriptors”, J Math Chem, 59, no. 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, no. 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, no. 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