Structure of large random hypergraphs
R. W. R. Darling, James R. Norris
openalex +2 more sources
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies. [PDF]
Zhu R, Wang Y, Shang J, Dai LY, Li F.
europepmc +1 more source
On the number of graphs and h-hypergraphs with bounded diameter
Ioan Tomescu
openalex +1 more source
Totally positive matrices and totally positive hypergraphs
Grzegorz Kubicki +2 more
openalex +1 more source
DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction. [PDF]
Li B, Xiao X, Zhang C, Xiao M, Zhang L.
europepmc +1 more source
HIG-Syn: a hypergraph and interaction-aware multigranularity network for predicting synergistic drug combinations. [PDF]
Gu Y, Zu J, Sun Y, Zhang L.
europepmc +1 more source
The polytope of degree sequences of hypergraphs
N. L. Bhanu Murthy, Murali K. Srinivasan
openalex +1 more source
MFH-LPI: based on multi-view similarity networks fusion and hypergraph learning for long non-coding RNA-protein interactions prediction. [PDF]
Xing Z, Yu S, Liao S, Wang P, Liao B.
europepmc +1 more source
Editorial: Networks and graphs in biological data: current methods, opportunities and challenges. [PDF]
Thompson DL, Wu HY, Bartlett CW, Ray WC.
europepmc +1 more source
Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data. [PDF]
Hou J, Zhao W, Nie Q.
europepmc +1 more source

