no code implementations • 27 Feb 2024 • Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan Sengamedu, Christos Faloutsos
Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, tabular data synthesis, question answering, and table understanding.
1 code implementation • 29 Dec 2023 • Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
One of the fundamental challenges confronting supervised graph outlier detection algorithms is the prevalent issue of class imbalance, where the scarcity of outlier instances compared to normal instances often results in suboptimal performance.
1 code implementation • 27 Sep 2023 • Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu
While existing work has explored utilizing knowledge graphs (KGs) to enhance language modeling via joint training and customized model architectures, applying this to LLMs is problematic owing to their large number of parameters and high computational cost.
no code implementations • 4 Sep 2021 • Ziqing Hu, Yihao Fang, Lizhen Lin
In this work, we propose to train a graph neural network via resampling from a graphon estimate obtained from the underlying network data.