Similarities on graphs: Kernels versus proximity measures-Reference-Cited by-同舟云学术

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Similarities on graphs: Kernels versus proximity measures

Published:2019-08 Issue: Volume:80 Page:47-56
ISSN:0195-6698
Container-title:European Journal of Combinatorics
language:en
Short-container-title:European Journal of Combinatorics

Author:

Avrachenkov Konstantin,Chebotarev Pavel,Rubanov Dmytro

Funder

joint Bell Labs Inria ADR “Network Science”

Russian Science Foundation

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics

Reference47 articles.

1. Semi-supervised learning with regularized Laplacian;Avrachenkov;Optim. Methods Softw.,2017

2. K. Avrachenkov, P. Gonçalves, M. Sokol, On the choice of kernel and labelled data in semi-supervised learning methods, in: Proccedings of WAW 2013, 2013, pp. 56–67.

3. K. Avrachenkov, R. van der Hofstad, M. Sokol, Personalized PageRank with node-dependent restart, in: Proceedings of International Workshop on Algorithms and Models for the Web-Graph, 2014, pp. 23–33.

4. K. Avrachenkov, A. Mishenin, P. Gonçalves, M. Sokol, Generalized optimization framework for graph-based semi-supervised learning, in: Proceedings of the 2012 SIAM International Conference on Data Mining, 2012, pp. 966–974.

5. L. Backstrom, J. Leskovec, Supervised random walks: predicting and recommending links in social networks, in: Proceedings of ACM WSDM 2011, 2011, pp. 635–644.

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