Results 131 to 140 of about 2,491 (218)

Understanding and classification of innate immune response through weighted edge representation learning with dual hypergraph transformation

Results in Engineering
Existing immunology approaches for modeling peptide-human leukocyte antigen (HLA) interactions predominantly rely on traditional machine learning and convolutional neural networks.
Mallikharjuna Rao Sakhamuri, Shagufta Henna, Leo Creedon, Kevin Meehan, Marion McAfee   +4 more
doaj   +1 more source

Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning. [PDF]

Nat Commun, 2023
Chen C, Liao C, Liu YY.
europepmc   +1 more source

Multimodal Feature Fusion Based Hypergraph Learning Model. [PDF]

Comput Intell Neurosci, 2022
Yang Z, Xu L, Zhao L.
europepmc   +1 more source

Cost-Sensitive Uncertainty Hypergraph Learning for Identification of Lymph Node Involvement With CT Imaging. [PDF]

Front Med (Lausanne), 2022
Ma Q, Yan J, Zhang J, Yu Q, Zhao Y, Liang C, Di D.   +6 more
europepmc   +1 more source

Revisiting Clique and Star Expansions in Hypergraph Representation Learning: Observations, Problems, and Solutions

IEEE Access
Hypergraph representation learning has gained increasing attention for modeling higher-order relationships beyond pairwise interactions. Among existing approaches, clique expansion-based (CE-based) and star expansion-based (SE-based) methods are two ...
David Yoon Suk Kang, Eujeanne Kim, Kyungsik Han, Sang-Wook Kim   +3 more
doaj   +1 more source

Scalable Hypergraph Structure Learning with Diverse Smoothness Priors

In graph signal processing, learning weighted connections between nodes from signals is a fundamental task when the underlying relationships are unknown.
Brown, Benjamin T.
core   +1 more source

LévyHyper: A Lévy Process-Driven Dynamic Hypergraph Framework for Stock Return Prediction with Jump-Aware Temporal Modeling

Mathematics
Stock return prediction for quantitative trading in U.S. equity markets has evolved from parametric econometric modeling toward data-driven deep learning systems that must jointly capture temporal dynamics, discontinuous jumps, and evolving cross-asset ...
Siyu Luo, Junming Chen
doaj   +1 more source

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. [PDF]

BMC Med Inform Decis Mak, 2021
Wang YT, Wu QW, Gao Z, Ni JC, Zheng CH.
europepmc   +1 more source

A novel Mamba-hypergraph enhanced time-frequency fusion network for multivariate time series classification

Complex & Intelligent Systems
Multivariate time series (MTS) classification is a crucial research area with broad applications in action recognition, healthcare, and system monitoring.
Jianjian Jiang, Chuxin Zhuang, Fangyan Lei, Ziwei Chen, Lintao Xiao, Minjing Liang, Jianfeng Peng   +6 more
doaj   +1 more source

Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs

Location-based service networks (LBSNs) have emerged as a primary source for numerous applications that attempt to understand human mobility and analyze social networks.
Nguyen, DDA, Jo, J, Nguyen, MH, Nguyen, PL, Nguyen, TT, Yin, H   +5 more
core   +1 more source