Graph Neural Networks Beyond Compromise Between Attribute and Topology.

Liang Yang|Wenmiao Zhou|Weihang Peng|Bingxin Niu|Junhua Gu|Chuan Wang|Xiaochun Cao|Dongxiao He


Anthology ID:DBLP:conf/www/0002ZPNG0CH22
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:1127-1135
URL:https://doi.org/10.1145/3485447.3512069
DOI:https://doi.org/10.1145/3485447.3512069
DBLP:conf/www/0002ZPNG0CH22
BibTeX:
@inproceedings{yang-2022-graph, author = {Liang Yang and Wenmiao Zhou and Weihang Peng and Bingxin Niu and Junhua Gu and Chuan Wang and Xiaochun Cao and Dongxiao He}, 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 = {{Graph Neural Networks Beyond Compromise Between Attribute and Topology}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1127--1135}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512069}, doi = {https://doi.org/10.1145/3485447.3512069} }