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Seminar@SystemX | « Spectral Methods for Graph Embedding » - Thomas Bonald

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Seminar@SystemX | « Spectral Methods for Graph Embedding » - Thomas Bonald

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URL : TBA
Date de l'événement (intitulé)
17 September 2020
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Thomas Bonald is leading a Seminar@SystemX on September 17 2020 at 14.00.
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Abstract
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Spectral methods are instrumental for the representation of large graphs in vector spaces of low dimension. In this talk, we will review these methods, their physical interpretation, and highlight the impact of some pre- and post-processing steps (regularization, scaling, normalization). We will also show how to apply these techniques using scikit-network, a Python package for the analysis of large graphs.
Keywords: Graph embedding, Laplacian matrix, spectral decomposition, random projection.