ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion.

Xiang Li|Giovanni Tummarello|Haobing Liu|Jianpeng Qi|Christian Morbidoni|Yuan Cao|Giovanni Tummarello|Haobing Liu|Christian Morbidoni|Yuan Cao|Guoqing Chao|Zhongying Zhao|Junyu Dong|Xinwang Liu|Yanwei Yu


Anthology ID:DBLP:conf/www/LiQLCCZDLY26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:980-991
URL:https://doi.org/10.1145/3774904.3792347
DOI:https://doi.org/10.1145/3774904.3792347
DBLP:conf/www/LiQLCCZDLY26
BibTeX:
@inproceedings{li-2026-scalegnn, author = {Xiang Li and Giovanni Tummarello and Haobing Liu and Jianpeng Qi and Christian Morbidoni and Yuan Cao and Giovanni Tummarello and Haobing Liu and Christian Morbidoni and Yuan Cao and Guoqing Chao and Zhongying Zhao and Junyu Dong and Xinwang Liu and Yanwei Yu}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {980--991}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792347}, doi = {https://doi.org/10.1145/3774904.3792347} }