GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
Lun Du|Xiaozhou Shi|Qiang Fu|Xiaojun Ma|Hengyu Liu|Shi Han|Dongmei Zhang
| Anthology ID: | DBLP:conf/www/DuSFMLHZ22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1550-1558 |
| URL: | https://doi.org/10.1145/3485447.3512201 |
| DOI: | https://doi.org/10.1145/3485447.3512201 |
| DBLP: | conf/www/DuSFMLHZ22 |
| BibTeX: |
@inproceedings{du-2022-gbkgnn,
author = {Lun Du and
Xiaozhou Shi and
Qiang Fu and
Xiaojun Ma and
Hengyu Liu and
Shi Han and
Dongmei Zhang},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {1550--1558},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512201},
doi = {https://doi.org/10.1145/3485447.3512201}
}