Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion.
Yao Fu|Junhong Wan|Junlan Yu|Weihao Jiang|Shiliang Pu
| Anthology ID: | DBLP:conf/cikm/FuWYJP23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 524-534 |
| URL: | https://doi.org/10.1145/3583780.3614815 |
| DOI: | https://doi.org/10.1145/3583780.3614815 |
| DBLP: | conf/cikm/FuWYJP23 |
| BibTeX: |
@inproceedings{fu-2023-cognitiveinspired,
author = {Yao Fu and
Junhong Wan and
Junlan Yu and
Weihao Jiang and
Shiliang Pu},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {524--534},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614815},
doi = {https://doi.org/10.1145/3583780.3614815}
}