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Academic Articles & Research Papers
Showing 5 of 5 academic articles
Yinlin Cheng, Mengnan Ma, Xingyu Li, Yi Zhou • BMC Medical Informatics and Decision Making
(2021)
Abstract Background Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal diseases, but...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-021-01424-x
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji et al. • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for comp...
OPENALEX
Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33013558
Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence
(2026)
Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02248-2
Huiyan Han, Hongwei Zeng, Liqun Kuang, Xie Han et al. • Scientific Reports
(2024)
Abstract Human activity recognition has a wide range of applications in various fields, such as video surveillance, virtual reality and human–computer intelligent interaction. It has emerged as a significant research area in computer vision...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-65850-3
Ziwei Zhang, Peng Cui, Wenwu Zhu • IEEE Transactions on Knowledge and Data Engineering
(2020)
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the unique characte...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2020.2981333