no code implementations • 18 Apr 2024 • Xiaorui Qi, Qijie Bai, Yanlong Wen, Haiwei Zhang, Xiaojie Yuan
Specifically, we build three unique views, original, coarsening, and conversion, to learn a thorough structural representation.
1 code implementation • 14 Apr 2023 • Qijie Bai, JiaWen Guo, Haiwei Zhang, Changli Nie, Lin Zhang, Xiaojie Yuan
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving structural and semantic information, is of vital importance in diverse real-life tasks.
1 code implementation • 14 Apr 2023 • Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan
In this paper, we propose HGWaveNet, a novel hyperbolic graph neural network that fully exploits the fitness between hyperbolic spaces and data distributions for temporal link prediction.
no code implementations • CVPR 2022 • Wei Li, Haiwei Zhang, Qijie Bai, Guoqing Zhao, Ning Jiang, Xiaojie Yuan
However, the application value of SG on downstream tasks is severely limited by the predicate classification bias, which is caused by long-tailed data and presented as semantic bias of predicted relation predicates.