Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification

Bai, Lu, Cui, Lixin, Jiao, Yuhang et al. (2 more authors) (Accepted: 2020) Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. pp. 783-798. ISSN 0162-8828 (In Press)

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Accepted: 22 July 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 22 Jul 2020 13:20
Last Modified: 19 Dec 2023 00:24
Published Version: https://doi.org/10.1109/TPAMI.2020.3011866
Status: In Press
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPAMI.2020.3011866

Download

Accepted Version

Filename: PAMI_GCN_v5.pdf

Description: PAMI_GCN_v5

CLICK TO DOWNLOAD [img]

Export

Statistics


CORE (COnnecting REpositories)