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$L^{\gamma}$ -PageRank for Semi-Supervised Learning

Esteban Bautista 1 Patrice Abry 2 Paulo Gonçalves 3, 1
1 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
2 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
3 LIP - Laboratoire de l'Informatique du Parallélisme
Keywords : Semi-Supervised Learning Laplacian powers Diffusion on graphs Optimal tuning Signed graphs PageRank MNIST
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https://hal.inria.fr/hal-02063780
Contributor : Paulo Gonçalves <>
Submitted on : Monday, March 11, 2019 - 2:36:32 PM
Last modification on : Monday, January 18, 2021 - 9:32:10 AM
Long-term archiving on: : Wednesday, June 12, 2019 - 2:59:05 PM

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CNRS | ENS-LYON | UNIV-LYON1 | INSA-LYON | INRIA | LIP | INSA-GROUPE | LABEX-MILYON | UNIV-LYON3 | UNIV-LYON2 | UDL

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Esteban Bautista, Patrice Abry, Paulo Gonçalves. $L^{\gamma}$ -PageRank for Semi-Supervised Learning. Applied Network Science, Springer, 2019, 4 (57), pp.1-20. ⟨10.1007/s41109-019-0172-x⟩. ⟨hal-02063780⟩

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