Hypergraph-based contrastive learning for enhanced fraud detection. [PDF]
Front Artif IntellWang Q, Shen Y, Dong H.
europepmc +1 more source
Web-based cardiovascular disease risk prediction using machine learning. [PDF]
Front Artif IntellAkhter S, Miller JH.
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Spectrum resource sharing method for IoT based on graph matching algorithm. [PDF]
Sci RepWang J.
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Development of game theoretic hypergraph based autoencoder scheme for multiple objects tracking and anomaly detection for surveillance videos. [PDF]
Sci RepSrinivasan P +4 more
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HyperGraph-based capsule temporal memory network for efficient and explainable diabetic retinopathy detection in retinal imaging. [PDF]
Sci RepSushith M +3 more
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Identification of novel differentiation trajectories and gene network associations with ectopic pregnancy in fallopian tube epithelium. [PDF]
Hum ReprodWright LI +6 more
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Dual chain dynamic hypergraph convolution network for 3D human pose estimation. [PDF]
Sci RepHan Q, Zhang S, Wang P.
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Hierarchical Network Organization and Dynamic Perturbation Propagation in Autism Spectrum Disorder: An Integrative Machine Learning and Hypergraph Analysis Reveals Super-Hub Genes and Therapeutic Targets. [PDF]
BiomedicinesBatrancea LM +3 more
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Hypergraph convolution and hypergraph attention [PDF]
Pattern Recognition, 2021 Recently, graph neural networks have attracted great attention and achieved prominent performance in various research fields. Most of those algorithms have assumed pairwise relationships of objects of interest. However, in many real applications, the relationships between objects are in higher-order, beyond a pairwise formulation.
Song Bai, Feihu Zhang
exaly +6 more sources