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Lee DB

As seen in: PeerJ
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Articles by Lee DB

WTNet: temporal knowledge graph reasoning network with windowing strategy and transformer-based fusion

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By Lee DB, Ray SN, van den Berg R
| PeerJ
In recently year, temporal knowledge graphs (TKG), as an important branch of knowledge graphs, have made tremendous progress. Unlike traditional knowledge graphs, TKG embed temporal information, further enhancing their ability to represent the real world. A TKG is defined as a sequence of static knowledge graphs in different timestamps. TKG composed of quadruples (s,r,o,t), which represents relation r exists between head entity s and tail entity o at timestamp t.
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Diffusion models in text generation: a survey

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By Lee DB, Qiuhua Yi, Xiangfan Chen, Kim ZM
| PeerJ
With the development of artificial intelligence, people are no longer satisfied with merely classifying data and have begun to explore how to generate new data. Currently, the most popular deep learning generative models include variational autoencoders (VAE) (Kingma & Welling, 2013), generative adversarial networks (GANs) (Goodfellow et al., 2014), flow-based generative models (Dinh, Krueger & Bengio, 2014), and diffusion models that has been widely used in the past 2 years.
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Postintensive Care Syndrome: Feasibly Bridging Care at a Tertiary Trauma Center

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By Lee DB, Timothy Stevens, Stevens TJ, Donna Lee
| ncbi.nlm.nih.gov
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Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants

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By Lee DB, Hwang KB
| ncbi.nlm.nih.gov
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Effect of High-Versus Low-Frequency of Abdominopelvic Computed Tomography Follow-Up Testing on Overall Survival in Patients With Stage II Or III Colon Cancer - PubMed

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By Shin SJ, Han DH, Chang JS, Lee DB
| ncbi.nlm.nih.gov
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