To conquer these issues, we propose an efficient symmetric graph metric learning (SGML) framework by incorporating metric learning into the SSGCN paradigm. Specifically, we first conduct multilevel ...

Graph distinguishing numbers constitute a vital parameter in understanding the symmetry properties of graphs. Fundamentally, the distinguishing number of a graph is the minimal number of labels ...

Symmetric non-negative matrix factorization (Sym-NMF) decomposes a high-dimensional symmetric non-negative matrix into a low-dimensional non-negative matrix and has been successfully used in graph ...

Proceedings of CSCE annual conference, Montreal, Canada, May 2013. A. Kaveh and M. Nikbakht, “Interrelation of Group and Graph Products in Configuration Processing of Symmetric Structures”, Paper 166 ...