EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events

Stefanos Antaris*, Dimitrios Rafailidis, Sarunas Girdzijauskas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Original languageEnglish
Title of host publication2020 IEEE International Conference on Big Data (Big Data)
EditorsXT Wu, C Jermaine, L Xiong, XH Hu, O Kotevska, SY Lu, WJ Xu, S Aluru, CX Zhai, E Al-Masri, ZY Chen, J Saltz
PublisherIEEE Xplore
Pages1455-1464
Number of pages10
ISBN (Print)978-1-7281-6252-2
DOIs
Publication statusPublished - 13 Dec 2020
Event2020 IEEE International Conference on Big Data (Big Data) - Atlanta, GA, USA
Duration: 10 Dec 202013 Dec 2020

Conference

Conference2020 IEEE International Conference on Big Data (Big Data)
Period10/12/2013/12/20

Keywords

  • Adaptation models
  • Data models
  • Predictive models
  • Streaming media
  • Task analysis
  • Training
  • User experience
  • Graph representation learning
  • live video streaming
  • knowledge distillation
  • evolving graphs

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