Deakin University
Browse
- No file added yet -

D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks

Download (1.71 MB)
conference contribution
posted on 2020-01-01, 00:00 authored by Heng Zhang, Xiaofei Wang, Jiawen Chen, Chenyang Wang, Jianxin Li
D2D-LSTM: LSTM-based path prediction of content diffusion tree in device-to-device social networks

History

Pagination

295-302

Location

New York, N.Y.

Open access

  • Yes

Start date

2020-02-07

End date

2020-02-12

eISSN

2374-3468

ISBN-13

978-1-57735-835-0

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

AAAI 2020 : Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence and the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence

Event

Association for the Advancement of Artificial Intelligence. Conference (34th: 2020 : New York, N.Y.)

Publisher

AAAI Press

Place of publication

Palo Alto, Calif.

Series

Association for the Advancement of Artificial Intelligence Conference

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC