no code implementations • 26 Mar 2024 • Shuheng Fang, Kangfei Zhao, Yu Rong, ZHIXUN LI, Jeffrey Xu Yu
Furthermore, we visualize the inferred interactions of HIRE to confirm the contribution of our model.
no code implementations • 29 Feb 2024 • Jiajun Zhang, ZHIXUN LI, Qiang Liu, Shu Wu, Liang Wang
With the rapid development of social media, the wide dissemination of fake news on social media is increasingly threatening both individuals and society.
no code implementations • 17 Feb 2024 • Yuhan Li, Peisong Wang, ZHIXUN LI, Jeffrey Xu Yu, Jia Li
The results underscore the effectiveness of our model in achieving significant cross-dataset zero-shot transferability, opening pathways for the development of graph foundation models.
no code implementations • 26 Dec 2023 • Madiha Fatima, Zhihua Cao, Aichun Huang, Shengyuan Wu, Xinxian Fan, Yi Wang, Liu Jiren, Ziyun Zhu, Qiongrou Ye, Yuan Ma, Joseph K. F Chow, Peng Jia, Yangshou Liu, Yubin Lin, Manjun Ye, Tong Wu, ZHIXUN LI, Cong Cai, Wenhai Zhang, Cheris H. Q. Ding, Yuanzhe Cai, Feijuan Huang
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
1 code implementation • 21 Nov 2023 • Yuhan Li, ZHIXUN LI, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
First of all, we propose a new taxonomy, which organizes existing methods into three categories based on the role (i. e., enhancer, predictor, and alignment component) played by LLMs in graph-related tasks.
no code implementations • 22 Oct 2022 • ZHIXUN LI, Dingshuo Chen, Qiang Liu, Shu Wu
In this paper, we argue that the performance degradation is mainly attributed to the inconsistency between topology and attribute.
no code implementations • IEEE 2018 • WEIDONG MIN, (Member, IEEE), HAO CUI, HONG RAO, ZHIXUN LI, AND LEIYUE YAO
Through measuring the changes of these characteristics and judging the relations between the people and furniture nearby, the falls on furniture can be effectively detected.