Hypergraph representations of single-cell RNA sequencing data for improved cell clustering. [PDF]
BioinformaticsHe W +3 more
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DHGCMDA: a dual-view heterogeneous graph contrastive learning framework for miRNA-disease association type prediction. [PDF]
BMC BioinformaticsSun Y +6 more
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HGCPep: Hypergraph Deep Learning Identifies Cancer-associated Non-coding Peptides. [PDF]
Genomics Proteomics BioinformaticsLong W +5 more
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Identifying Metabolite-Disease Associations via Messaging in Hypergraphs. [PDF]
MetabolitesXiao F, Ran Y, Li Z.
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SynergyGraph: predicting cell line specific drug combination synergy scores using knowledge graph representation and hypergraph modeling. [PDF]
Sci RepMehrabani M +5 more
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Most of the current hypergraph learning methodologies and benchmarking datasets in the hypergraph realm are obtained by lifting procedures from their graph analogs, leading to overshadowing specific characteristics of hypergraphs.
Bucarelli, Maria Sofia +5 more
core
One-class edge classification through heterogeneous hypergraph for causal discovery. [PDF]
Sci RepGôlo MPS, Marcacini RM.
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ONCOPLEX: an oncology-inspired hypergraph model integrating diverse biological knowledge for cancer driver gene prediction. [PDF]
Sci RepAlotaibi EM, Alkhnbashi OS, Tran VD.
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A Graph-based Benchmark dataset for Printed Circuit Netlist Partitioning. [PDF]
Sci DataYang J +6 more
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Strategy evolution on temporal hypergraphs. [PDF]
Proc Natl Acad Sci U S AWang X, Zhou L, McAvoy A, Tian Z, Li A.
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