VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.

Jingbo Zhou|Jun Xia|Siyuan Li|Yunfan Liu|Wenjun Wang|Yufei Huang|Changxi Chi|Mutian Hong|Zhuoli Ouyang|Shu Wang|Zhongqi Wang|Xingyu Wu|Chang Yu|Stan Z. Li


Anthology ID:DBLP:conf/www/ZhouXLLWHCHOWWW26
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:1115-1126
URL:https://doi.org/10.1145/3774904.3792453
DOI:https://doi.org/10.1145/3774904.3792453
DBLP:conf/www/ZhouXLLWHCHOWWW26
BibTeX:
@inproceedings{zhou-2026-vecformer, author = {Jingbo Zhou and Jun Xia and Siyuan Li and Yunfan Liu and Wenjun Wang and Yufei Huang and Changxi Chi and Mutian Hong and Zhuoli Ouyang and Shu Wang and Zhongqi Wang and Xingyu Wu and Chang Yu and Stan Z. Li}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention}}, 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 = {1115--1126}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792453}, doi = {https://doi.org/10.1145/3774904.3792453} }