RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation.

@inproceedings{yuan-2026-raggfm, author = {Haonan Yuan and Qingyun Sun and Jiacheng Tao and Xingcheng Fu and Jianxin Li}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation}}, 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 = {626--637}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792139}, doi = {https://doi.org/10.1145/3774904.3792139} }