A Unified View on Graph Neural Networks as Graph Signal Denoising.
Yao Ma|Xiaorui Liu|Tong Zhao|Yozen Liu|Jiliang Tang|Neil Shah
| Anthology ID: | DBLP:conf/cikm/0001L0LTS21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1202-1211 |
| URL: | https://doi.org/10.1145/3459637.3482225 |
| DOI: | https://doi.org/10.1145/3459637.3482225 |
| DBLP: | conf/cikm/0001L0LTS21 |
| BibTeX: |
@inproceedings{ma-2021-unified,
author = {Yao Ma and
Xiaorui Liu and
Tong Zhao and
Yozen Liu and
Jiliang Tang and
Neil Shah},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{A Unified View on Graph Neural Networks as Graph Signal Denoising}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {1202--1211},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482225},
doi = {https://doi.org/10.1145/3459637.3482225}
}