no code implementations • 26 Aug 2024 • Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi
In the second stage, we adaptively manage message propagation in GNNs for different edge types based on node features, structures, and heterophilic or homophilic characteristics.
1 code implementation • 2 Jan 2024 • Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li
In this paper, we unify different types of structured data (i. e., table, key-value data, knowledge graph) into the graph format and cast different data-to-text generation tasks as graph-to-text generation.
1 code implementation • 14 Oct 2022 • Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong
This paper aims at solving the mismatch problem between MFE and UIM, so as to generate high-quality embedding representations and better model multimodal user preferences.
2 code implementations • 13 Oct 2022 • Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, XiaoHu Qie
Existing benchmark datasets for recommender systems (RS) either are created at a small scale or involve very limited forms of user feedback.