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• W2907363596 abstract "In this paper, we propose a spectral method for the analysis of directed graphs. For this purpose, a Hermitian Laplacian operator is proposed, that defines interesting properties for the embedding of a graph into a vector space. We use the notions of the Hermitian Laplacian operator to embed a directed graph structure, build over corpura of Word Association Norms, into a vector space. We show that the Hermitian Laplacian operator has advantages over a traditional Laplacian operator when the original structure of the graph is directed. Moreover, we compare the lexical relations obtained by a WAN graph with the connections the Hermitian Laplacian operator establishes between the words of the corpora." @default.
• W2907363596 created "2019-01-11" @default.
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• W2907363596 date "2018-01-01" @default.
• W2907363596 modified "2023-10-02" @default.
• W2907363596 title "Hermitian Laplacian Operator for Vector Representation of Directed Graphs: An Application to Word Association Norms" @default.
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• W2907363596 doi "https://doi.org/10.1007/978-3-030-02840-4_4" @default.
• W2907363596 hasPublicationYear "2018" @default.
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