An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification-Reference-Cited by-同舟云学术

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An Empirical Study of the GraphSAGE and Word2vec Algorithms for Graph Multiclass Classification

Published:2021-10-27 Issue: Volume: Page:
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Container-title:2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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Author:

Hajibabaee Parisa,Malekzadeh Masoud,Heidari Maryam,Zad Samira,Uzuner Ozlem,Jones James H

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9623060/9623064/09623238.pdf?arnumber=9623238

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4. Robust and Transferable Graph Neural Networks for Medical Images;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

5. E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

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