Results 121 to 130 of about 9,987 (195)

MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association. [PDF]

Front Genet, 2020
Wu Q, Wang Y, Gao Z, Ni J, Zheng C.
europepmc   +1 more source

Higher-Order Regularization Learning on Hypergraphs

Higher-Order Hypergraph Learning (HOHL) was recently introduced as a principled alternative to classical hypergraph regularization, enforcing higher-order smoothness via powers of multiscale Laplacians induced by the hypergraph structure. Prior work established the well- and ill-posedness of HOHL through an asymptotic consistency analysis in geometric ...
Weihs, Adrien, Bertozzi, Andrea L., Thorpe, Matthew   +2 more
openaire   +2 more sources

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification. [PDF]

Front Genet
Wang J, Yang X, Yang P, Yang J, Miao Y.
europepmc   +1 more source

Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis. [PDF]

Front Med (Lausanne)
Han X, Li J.
europepmc   +1 more source

Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAs. [PDF]

ACS Omega
Xuan P, Zheng R, Cui H, Sun F, Wang F, Zhang T.   +5 more
europepmc   +1 more source

HyperPhS: a pharmacophore-guided multimodal representation framework for metabolic stability prediction through contrastive hypergraph learning. [PDF]

Bioinformatics
Liu X, Zhang N, Kang C, Ai C, Yang H, Tang J, Guo F.   +6 more
europepmc   +1 more source

MFH-LPI: based on multi-view similarity networks fusion and hypergraph learning for long non-coding RNA-protein interactions prediction. [PDF]

BMC Genomics
Xing Z, Yu S, Liao S, Wang P, Liao B.
europepmc   +1 more source

pMHChat, characterizing the interactions between major histocompatibility complex class II molecules and peptides with large language models and deep hypergraph learning. [PDF]

Brief Bioinform
Ma J, Wang Z, Tong C, Yang Q, Zhang L, Liu H.   +5 more
europepmc   +1 more source

Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. [PDF]

Brain Imaging Behav, 2019
Zu C, Gao Y, Munsell B, Kim M, Peng Z, Cohen JR, Zhang D, Wu G.   +7 more
europepmc   +1 more source

HGTMDA: A Hypergraph Learning Approach with Improved GCN-Transformer for miRNA-Disease Association Prediction. [PDF]

Bioengineering (Basel)
Lu D, Li J, Zheng C, Liu J, Zhang Q.
europepmc   +1 more source