1 code implementation • 27 Dec 2023 • Weijun Chen, Heyuan Wang, Ye Tian, Shijie Guan, Ning Liu
Additionally, adopting a frequency-based perspective can effectively mitigate the influence of noise within MTS data, which helps capture more genuine dependencies.
1 code implementation • 28 Jun 2023 • Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
To remove class spurious feature caused by distribution shifts, we propose Individual Graph Information Bottleneck (I-GIB) which discards irrelevant information by minimizing the mutual information between the input graph and its embeddings.
no code implementations • 19 May 2022 • Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong
To adequately leverage neighbor proximity and high-order information, we design a novel spatial autoregressive paradigm.
no code implementations • ACL 2020 • Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie
Existing studies generally represent each user as a single vector and then match the candidate news vector, which may lose fine-grained information for recommendation.