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A Survey of Complex Network Representation Learning Methods

Published: 16 November 2023 Publication History

Abstract

Network representation learning is a technique that embeds the nodes in a network into a low-dimensional vector space, providing strong support for network analysis tasks such as node classification, link prediction, and community detection. This paper provides a summary of the research in the field of network representation learning in recent years. Firstly, the definition of network representation learning is introduced. Then, traditional network representation learning methods are presented, including matrix factorization-based methods, random walk-based methods, and neural network-based methods. However, traditional network representation learning methods can only be applicable to the traditional networks abstracted as the graphs and not applicable to the hypernetworks abstracted as the hypergraphs. Therefore, this paper also introduces hypernetwork representation learning methods, including homogeneous hypernetwork representation learning and heterogeneous hypernetwork representation learning. Finally, this paper summarizes future research directions in network representation learning.

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  • (2024)StructmRNA a BERT based model with dual level and conditional masking for mRNA representationScientific Reports10.1038/s41598-024-77172-514:1Online publication date: 29-Oct-2024
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HP3C '23: Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
June 2023
354 pages
ISBN:9781450399883
DOI:10.1145/3606043
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Publication History

Published: 16 November 2023

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Author Tags

  1. Heterogeneous hypernetwork
  2. Homogeneous hypernetwork
  3. Representation learning
  4. Traditional network
  5. Vector space

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • the National Natural Science Foundation of China
  • the grant of Tsinghua University
  • the Natural Science Foundation of Qinghai Province
  • the Open Project of State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University

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HP3C 2023

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  • (2024)StructmRNA a BERT based model with dual level and conditional masking for mRNA representationScientific Reports10.1038/s41598-024-77172-514:1Online publication date: 29-Oct-2024

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