Representation of functions on big data associated with directed graphs |
| |
| Authors: | Charles K. Chui H.N. Mhaskar Xiaosheng Zhuang |
| |
| Affiliation: | 1. Department of Statistics, Stanford University, Stanford, CA 94305, United States;2. Department of Mathematics, California Institute of Technology, Pasadena, CA 91125, United States;3. Institute of Mathematical Sciences, Claremont Graduate University, Claremont, CA 91711, United States;4. Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong |
| |
| Abstract: | This paper is an extension of the previous work of Chui et al. (2015) [4], not only from numeric data to include non-numeric data as in that paper, but also from undirected graphs to directed graphs (called digraphs, for simplicity). Besides theoretical development, this paper introduces effective mathematical tools in terms of certain data-dependent orthogonal systems for function representation and analysis directly on the digraphs. In addition, this paper also includes algorithmic development and discussion of various experimental results on such data-sets as CORA, Proposition, and Wiki-votes. |
| |
| Keywords: | Corresponding author. |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
