Results 91 to 100 of about 1,216 (173)

HGSNet: A hypergraph network for subtle lesions segmentation in medical imaging

IET Image Processing
Lesion segmentation is a fundamental task in medical image processing, often facing the challenge of subtle lesions. It is important to detect these lesions, even though they can be difficult to identify.
Junze Wang, Wenjun Zhang, Dandan Li, Chao Li, Weipeng Jing   +4 more
doaj   +1 more source

Multi-View Contrastive Fusion POI Recommendation Based on Hypergraph Neural Network

Mathematics
In the era of information overload, location-based social software has gained widespread popularity, and the demand for personalized POI (Point of Interest) recommendation services is growing rapidly.
Luyao Hu, Guangpu Han, Shichang Liu, Yuqing Ren, Xu Wang, Ya Liu, Junhao Wen, Zhengyi Yang   +7 more
doaj   +1 more source

Let There be Direction in Hypergraph Neural Networks.

Trans. Mach. Learn. Res.
Hypergraphs are a powerful abstraction for modeling high-order interactions between a set of entities of interest and have been attracting a growing interest in the graph-learning literature. In particular, directed hypegraphs are crucial in their capability of representing real-world phenomena involving group relations where two sets of elements ...
Fiorini S., Coniglio S., Ciavotta M., Bue A. D.   +3 more
openaire   +2 more sources

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation

CoRR
Knowledge hypergraphs generalize knowledge graphs using hyperedges to connect multiple entities and depict complicated relations. Existing methods either transform hyperedges into an easier-to-handle set of binary relations or view hyperedges as isolated and ignore their adjacencies. Both approaches have information loss and may potentially lead to the
Mengfan Li 0001, Xuanhua Shi, Chenqi Qiao, Teng Zhang 0001, Hai Jin 0001   +4 more
openaire   +2 more sources

A spatiotemporal hypergraph self-attention neural networks framework for the identification and pharmacological efficacy assessment of Parkinson’s disease motor symptoms

npj Parkinson's Disease
L-DOPA-induced dyskinesia (LID) is a common complication in the treatment of Parkinson’s disease (PD), characterized by involuntary excessive movements. The traditional Abnormal Involuntary Movement Scale (AIMs), used for quantifying abnormal involuntary
Xiaochen An, Lu Su, Qi Yang, Bo Shen, Linhua Gan, Jia jun Ji, Jian Wang, Haifeng Su   +7 more
doaj   +1 more source

DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction. [PDF]

Bioinformatics
Li B, Xiao X, Zhang C, Xiao M, Zhang L.
europepmc   +1 more source

Integration of single cell multiomics data by deep transfer hypergraph neural network. [PDF]

Brief Funct Genomics
Kan Y, Zhang Z, Wang Y, Qi Y, Chang H, Wang W, Zhang Z, Liu Q, Shi X.   +8 more
europepmc   +1 more source

Traffic flow prediction via dynamic hypergraph learning. [PDF]

PLoS One
Wei S, Yang Y, Wang C.
europepmc   +1 more source

Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. [PDF]

Int J Mol Sci
Chan KY, Yamaguchi T, Izumiya Y, Chu YW, Watanabe T.   +4 more
europepmc   +1 more source