A temporal graph is an undirected graph where each edge is associated with a timestamp representing the interaction time. As a fundamental problem in graph analysis, community search (CS) in temporal graphs has received tremendous research attention. Existing CS works on temporal graphs typically focus on identifying...
Yue Zhang, Ying-Li Zhou, Fang-Yuan Zhang et al.· Proceedings of the ACM on Ma...· 0 citations
This work proposes eXtreme Gradient Boosting LoRA (XGBLoRA), a novel framework grounded in gradient boosting theory that provides theoretical analysis establishing convergence guarantees and expressiveness bounds, which formally justify why weaker (lower-rank) adapters, when properly combined, can match or exceed the p...
Yifei Zhang, Hao Zhu, Haoran Shi et al.· Proceedings of the 32nd ACM...· 0 citations
Fine-tuning Large Language Models (LLMs) has become a crucial technique for adapting pre-trained models to downstream tasks. However, the enormous size of LLMs poses significant challenges in terms of computational complexity and resource requirements. Low-Rank Adaptation (LoRA) has emerged as a promising solution, yet...
Yifei Zhang, Hao Zhu, Haoran Shi et al.· Proceedings of the 32nd ACM...· 0 citations
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