Graph neural networks: A review of methods and applications-Reference-Cited by-同舟云学术

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Graph neural networks: A review of methods and applications

Published:2020 Issue: Volume:1 Page:57-81
ISSN:2666-6510
Container-title:AI Open
language:en
Short-container-title:AI Open

Author:

Zhou Jie,Cui Ganqu,Hu Shengding,Zhang Zhengyan^ORCID,Yang Cheng,Liu Zhiyuan,Wang Lifeng,Li Changcheng,Sun Maosong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference282 articles.

1. Learning to represent programs with graphs;Allamanis;Proc. ICLR,2018

2. Diffusion-convolutional neural networks;Atwood,2016

3. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

4. Explainability Techniques for Graph Convolutional Networks;Baldassarre,2019

5. The logical expressiveness of graph neural networks;Barceló;Proceedings of ICLR,2019

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