Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning-Reference-Cited by-同舟云学术

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Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)
language:
Short-container-title:

Author:

Wang Junfu¹,Li Yawen²,Liang Meiyu¹,Li Ang¹

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Communication Software and Multimedia, School of Computer Science (National Pilot Software Engineering School),Beijing,100876

2. Beijing University of Posts and Telecommunications,School of Economics and Management,Beijing

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016307/10016308/10016355.pdf?arnumber=10016355

Reference33 articles.

1. How attentive are graph attention networks?[J];brody;arXiv preprint arXiv 2105 14491,2021

2. HIN2Vec

3. metapath2vec

4. node2vec: Scalable feature learning for networks[C];grover;ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2016

5. Privacy-preserving Machine Learning as a Service[J];hunt;Proceedings on Privacy Enhancing Technologies,2018

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