Graph convolutional networks: a comprehensive review

Overview of attention for article published in Computational Social Networks, November 2019

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In the top 25% of all research outputs scored by Altmetric
Good Attention Score compared to outputs of the same age (72nd percentile)
Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter: 9 tweeters

facebook: 1 Facebook page

Citations

dimensions_citation: 156 Dimensions

Readers on

mendeley: 480 Mendeley

Summary Twitter Facebook Dimensions citations

So far, Altmetric has seen 10 tweets from 9 users, with an upper bound of 11,924 followers.

https://t.co/70yRes9ZOz

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Graph convolutional networks: a comprehensive review | Computational Social Networks | Full Text https://t.co/WVDm6t2y6i

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Graph convolutional networks: a comprehensive review https://t.co/6GF61gKzqL

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https://t.co/AjIz6v4OVC

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Graph convolutional networks: a comprehensive review https://t.co/1cW8ipOdK9

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Graph convolutional networks: a comprehensive review https://t.co/6KKZdoVDqJ

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RT @nick_debu_p: Graph convolutional networks: a comprehensive review | SpringerLink LuCunさんが言及してたGCNレビュー。 https://t.co/N5AOYoe4mu

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« In this survey, despite numerous types of graph neural networks, we conduct a comprehensive review specifically on the emerging field of graph convolutional networks, which is one of the most prominent graph deep learning models…https://t.co/qcnOujWJis

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Graph convolutional networks: a comprehensive review | SpringerLink LuCunさんが言及してたGCNレビュー。 https://t.co/N5AOYoe4mu

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Graph convolutional networks: a comprehensive review | SpringerLink https://t.co/1cW8ipOdK9

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