Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment.

@inproceedings{shen-2026-learning, author = {Xuehua Shen and Yuhang Liu and Bing Hao and Clement T. Yu and Jianxin Li and Kuansan Wang and Xuehua Shen and Yuhang Liu and ChengXiang Zhai and Minglai Shao and ChengXiang Zhai and Minglai Shao and Zengyi Wo and Yunlong Chu and Bing Hao and Clement T. Yu and Shengzhong Liu and Ruijie Wang and Jianxin Li and Kuansan Wang}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {1209--1220}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809579}, doi = {https://doi.org/10.1145/3805712.3809579} }