Results 101 to 110 of about 10,447 (245)
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks. [PDF]
Front Genet, 2023 Ma Y, Zhang H, Jin C, Kang C.
europepmc +1 more source
Link prediction in ecological meta‐networks under extreme taxonomic bias
Methods in Ecology and Evolution, EarlyView.Abstract Ecological networks offer powerful insights into community function but, without first characterizing these networks accurately, our ability to detect and interpret changes under environmental stress is limited. We develop an extension of the Covariate‐Informed Link Prediction (COIL) framework to reduce bias in ecological link prediction when ...
Jennifer N. Kampe +2 more
wiley +1 more source
scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. [PDF]
Bioinformatics, 2023 Wang Y +6 more
europepmc +1 more source
Animal Conservation, EarlyView.The potential impact of bat species extinction on the number of their ectoparasitic fly species, based on interaction data for Brazil. As bat host species are removed over time, more connected species (green) would experience steeper declines and lead to greater ectoparasite losses when compared to a random extinction model (gray).
Nathan Lorenzo de Sena Gotti +3 more
wiley +1 more source
On bipartite tetravalent graphs
Discrete Mathematics, 1974 In this paper the determination of all distance-transitive graphs of valency four is completed.
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Tumor relevant protein functional interactions identified using bipartite graph analyses. [PDF]
Sci Rep, 2021 Venkatraman DL +3 more
europepmc +1 more source
Endogenous coalition formation in policy debates
American Journal of Political Science, EarlyView.Abstract Political actors form coalitions around their joint normative beliefs in order to influence the policy process on contentious issues such as climate change or population aging. Policy process theory maintains that learning within and across coalitions is a central predictor of policy change but has yet to explain how policy learning works ...
Philip Leifeld, Laurence Brandenberger
wiley +1 more source
Discrete Mathematics, 1986 Let \(A_{ij}\) be a binary triangle with base \(a_{1j}\), \(1\leq j\leq n\) such that \(a_{ij}=a_{i-1,j-1}+a_{i-1,j}\) for ...
openaire +2 more sources
Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm. [PDF]
Front Pharmacol, 2022 Kusuma WA +6 more
europepmc +1 more source
Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source