@inproceedings{he-etal-2025-homographadapter,
    title = "{H}omo{G}raph{A}dapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models",
    author = "He, Chuan  and
      Li, Zhuozhao  and
      Guo, Song  and
      Lu, Xiaocheng  and
      Lai, Jinxiang",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.findings-emnlp.1270/",
    doi = "10.18653/v1/2025.findings-emnlp.1270",
    pages = "23400--23414",
    ISBN = "979-8-89176-335-7"
}