Structure-adaptive graph neural network with temporal representation and residual connections-Reference-Cited by-同舟云学术

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Structure-adaptive graph neural network with temporal representation and residual connections

Published:2023-07-27 Issue:5 Volume:26 Page:3389-3408
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Bi Xin,Jiang Qingling,Liu Zhixun,Yao Xin,Nie Haojie,Yuan George Y.,Zhao Xiangguo,Sun Yongjiao

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s11280-023-01179-7.pdf

Reference41 articles.

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2. Le Bihan, D.: Looking into the functional architecture of the brain with diffusion mri. Nat. Rev. Neurosci. 4(6), 469–480 (2003)

3. Friston, K.J.: Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain. Map. 2(1–2), 56–78 (1994)

4. Song, X., Li, J., Cai, T., Yang, S., Yang, T., Liu, C.: A survey on deep learning based knowledge tracing. Knowledge-Based Systems 258, 110036 (2022)

5. Liu, J., Chen, Y., Huang, X., Li, J., Min, G.: Gnn-based long and short term preference modeling for next-location prediction. Inform Sci 629, 1–14 (2023)

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1. An efficient federated learning framework for graph learning in hyperbolic space;Knowledge-Based Systems;2024-04

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