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} }