Results 111 to 120 of about 1,673 (179)

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

Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses. [PDF]

Cyborg Bionic Syst
Cui Q, Ding Z, Chen F.
europepmc   +1 more source

Learning on Hypergraphs with Sparsity

Learning on Hypergraphs with Sparsity
Hypergraph is a general way of representing high-order relations on a set of objects. It is a generalization of graph, in which only pairwise relations can be represented. It finds applications in various domains where relationships of more than two objects are observed.
openaire  

Integration of protein sequence and protein-protein interaction data by hypergraph learning to identify novel protein complexes. [PDF]

Brief Bioinform
Xia S, Li D, Deng X, Liu Z, Zhu H, Liu Y, Li D.   +6 more
europepmc   +1 more source