GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding.

Rongzheng Wang|Shuang Liang|Qizhi Chen|Yihong Huang|Muquan Li|Yizhuo Ma|Dongyang Zhang|Ke Qin|Man-Fai Leung


Anthology ID:DBLP:conf/www/WangLCHLMZQL26
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:3811-3822
URL:https://doi.org/10.1145/3774904.3792314
DOI:https://doi.org/10.1145/3774904.3792314
DBLP:conf/www/WangLCHLMZQL26
BibTeX:
@inproceedings{wang-2026-graphcogent, author = {Rongzheng Wang and Shuang Liang and Qizhi Chen and Yihong Huang and Muquan Li and Yizhuo Ma and Dongyang Zhang and Ke Qin and Man-Fai Leung}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding}}, 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 = {3811--3822}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792314}, doi = {https://doi.org/10.1145/3774904.3792314} }