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- W1500647279 abstract "Application of kernel methods to link analysis is presented. Novel kernels based on directed graph Laplacians are proposed and their application as measures of relatedness between nodes in a directed graph is presented. The kernels express relatedness and take into account the global importance of the nodes in a citation graph. Limitations of existing kernels are given with a discussion how they are addressed by directed Laplacian kernels. Links between the kernels and PageRank ranking algorithm are also presented. The proposed kernels are evaluated on a dataset of scientific bibliographic citations." @default.
- W1500647279 created "2016-06-24" @default.
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- W1500647279 date "2006-01-01" @default.
- W1500647279 modified "2023-09-23" @default.
- W1500647279 title "Directed Laplacian Kernels for Link Analysis" @default.
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- W1500647279 doi "https://doi.org/10.1007/11875581_38" @default.
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