Enumeration of cospectral graphs
European Journal of Combinatorics - Special issue on algebraic combinatorics: in memory of J.J. Seidel
Pattern Vectors from Algebraic Graph Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing Hierarchical Structures Using Graph Spectra
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel XML music information retrieval method using graph invariants
ACM Transactions on Information Systems (TOIS)
Relational motif discovery via graph spectral ranking
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
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The development of both musicologically based and efficient music information retrieval metrics to query large music database is crucial in modern music information retrieval, knowledge management and database research. Graph spectral representation of pitch class sequences has proved to outperform other pitch class based melodic similarity methods. Here we compare different spectral approaches to structural queries in databases of symbolic music, which exploits mathematical music theory results to improve the descriptive power of representative graphs. In particular, we explore graph representation of other relevant music features like intervals. The experiments have been conducted on a subset of the RISM collection, and results have been evaluated against a ground truth for the same collection developed for the MIREX competition.