Interpretable and Efficient Heterogeneous Graph Convolutional Network

Yang, Y; Guan, Z; Li, Jianxin; Zhao, W; Cui, J; Wang, Q

File(s) under permanent embargo

Interpretable and Efficient Heterogeneous Graph Convolutional Network

journal contribution

posted on 2021-01-01, 00:00 authored by Y Yang, Z Guan, Jianxin Li, W Zhao, J Cui, Q Wang

Interpretable and Efficient Heterogeneous Graph Convolutional Network

History

Journal

IEEE Transactions on Knowledge and Data Engineering

Pagination

1-14

Location

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/TKDE.2021.3101356

ISSN

1041-4347

eISSN

1558-2191

Language

eng

Notes

Early Access Article

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Institute of Electrical and Electronics Engineers

Usage metrics

Keywords

Computer architecture Convolution Scalability Task analysis Time complexity 4603 Computer vision and multimedia computation 4605 Data management and data science 4609 Information systems

Licence

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

File(s) under permanent embargo

Interpretable and Efficient Heterogeneous Graph Convolutional Network

History

Journal

Pagination

Location

Publisher DOI

ISSN

eISSN

Language

Notes

Publication classification

Publisher

Usage metrics

Categories

Keywords

Licence

Exports