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Can I read IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance on EtoBox?
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance by Di Wei; Yu Gu; Yumeng Song; Zhen Song; Fangfang Li; Ge Yu is a book available to read on EtoBox.
What is IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance about?
The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.
- Author
- Di Wei; Yu Gu; Yumeng Song; Zhen Song; Fangfang Li; Ge Yu
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783031001239
- Subjects
- Mathematics, Computer Science, Management
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