How to Bridge Spatial and Temporal Heterogeneity in Link Prediction? A Contrastive Method

Autor: Tai, Yu, Wu, Xinglong, Yang, Hongwei, He, Hui, Chen, Duanjing, Shao, Yuanming, Zhang, Weizhe

Temporal Heterogeneous Networks play a crucial role in capturing the dynamics and heterogeneity inherent in various real-world complex systems, rendering them a noteworthy research avenue for link prediction. However, existing methods fail to capture

Externí odkaz: http://arxiv.org/abs/2411.00612

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IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity.

Autor: Wang W; ShanghaiTech University., Tang P; Emory University., Lou J; ZJU-Hangzhou Global Scientific and Technological Innovation Center., Shao Y; ShanghaiTech University., Waller L; Emory University., Ko YA; Emory University., Xiong L; Emory University.

Publikováno v: Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence [Proc AAAI Conf Artif Intell] 2024; Vol. 38 (14), pp. 15634-15643. Date of Electronic Publication: 2024 Mar 24.