Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
Abstract: This paper is concerned with computing graph edit distance. One of the criticisms that can be leveled at existing methods for computing graph edit distance is that they lack some of the ...
Abstract: Graph edit distance is one of the most flexible and general graph matching models available. The major drawback of graph edit distance, however, is its computational complexity that ...
ABSTRACT: The hitting time index of a simple connected undirected graph G is a recently defined topological descriptor, HT( G ) , which is computed using the expected hitting times of the random walk ...
The University Grants Commission (UGC) has directed all higher education institutions (HEIs) to discontinue offering programmes in healthcare and allied disciplines through Open and Distance Learning ...
ABSTRACT: Let G be a connected graph with vertex set V( G ) . Then the degree resistance distance of G is defined as D R ( G )= ∑ { u,v }⊆V( G ) ( d( u )+d( v ) )R( u,v ) , where d( u ) is the degree ...
It’s become commonplace among observers of U.S. politics to decry partisan polarization in Congress. Indeed, a Pew Research Center analysis finds that, on average, Democrats and Republicans are ...
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