KDD · 2026 · Conference paper · Author with a top-venue record

G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs

Yuhan Wang, Yibo Ding, Yutong Ye, Mufan Zhao, Wenbo Zhang, Ruijie Wang, Jianxin Li

Beihang University · Columbia University · Beijing University of Technology

Rendered by arXiv from the LaTeX source. If anything looks wrong, switch to the PDF.HTML · PDF · Open in a new tab ↗ · Close

Published in: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Date: 2026-08-06
Citations: 0
arXiv: 2606.01873 ↗

Cite

@inproceedings{wang2026glora,
  title = {G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs},
  author = {Yuhan Wang and Yibo Ding and Yutong Ye and Mufan Zhao and Wenbo Zhang and Ruijie Wang and Jianxin Li},
  year = {2026},
  booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2},
  eprint = {2606.01873},
  archivePrefix = {arXiv},
  doi = {10.1145/3770855.3817966},
  url = {https://arxiv.org/abs/2606.01873},
}