Results 1 to 10 of about 832,958 (281)
Leveraging Different Distance Functions to Predict Antiviral Peptides with Geometric Deep Learning from ESMFold-Predicted Tertiary Structures [PDF]
Background: Machine learning models have been shown to be a time-saving and cost-effective tool for peptide-based drug discovery. In this regard, different graph learning-driven frameworks have been introduced to exploit graph representations derived ...
Greneter Cordoves-Delgado +4 more
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Distance (signless) Laplacian spectrum of dumbbell graphs [PDF]
In this paper, we determine the distance Laplacian and distance signless Laplacian spectrum of generalized wheel graphs and a new class of graphs called dumbbell graphs.
Sakthidevi Kaliyaperumal +1 more
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On Eccentricity Version of Zagreb Coindices [PDF]
The eccentric connectivity coindex has recently been introduced (Hua and Miao, 2019) as the total eccentricity sum of all pairs of non-adjacent vertices in a graph.
Mahdieh Azari
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Szeged-type indices of subdivision vertex-edge join (SVE-join)
In this article, we compute the vertex Padmakar-Ivan (PIv) index, vertex Szeged (Szv) index, edge Padmakar-Ivan (PIe) index, edge Szeged (Sze) index, weighted vertex Padmakar-Ivan (wPIv) index, and weighted vertex Szeged (wSzv) index of a graph product ...
Asghar Syed Sheraz +4 more
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A Quasi-Hole Detection Algorithm for Recognizing k-Distance-Hereditary Graphs, with k < 2
Cicerone and Di Stefano defined and studied the class of k-distance-hereditary graphs, i.e., graphs where the distance in each connected induced subgraph is at most k times the distance in the whole graph. The defined graphs represent a generalization of
Serafino Cicerone
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The Generalized Distance Spectrum of the Join of Graphs [PDF]
Let G be a simple connected graph. In this paper, we study the spectral properties of the generalized distance matrix of graphs, the convex combination of the symmetric distance matrix D(G) and diagonal matrix of the vertex transmissions Tr(G) .
Alhevaz, Abdollah +3 more
core +2 more sources
The status of a vertex , denoted by , is the sum of the distances between and all other vertices in a graph . The first and second status connectivity indices of a graph are defined as and respectively, where denotes the edge set of .
Harishchandra S. Ramane +2 more
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The Threshold Dimension and Irreducible Graphs
Let G be a graph, and let u, v, and w be vertices of G. If the distance between u and w does not equal the distance between v and w, then w is said to resolve u and v.
Mol Lucas +2 more
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Weiner Polynomials to Generalize the Distance of Some Composite Graphs from Special Graphs [PDF]
It is not easy to find the Wiener polynomials for generalized distance of compound graphs constructed in the form and for any two disjoint connected graphs and .Therefore, in this paper, we obtain Wiener polynomials for generalized distance of and ...
Ali Ali, Ahmed Ali
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Dualizing Distance-Hereditary Graphs
Distance-hereditary graphs can be characterized by every cycle of length at least 5 having crossing chords. This makes distance-hereditary graphs susceptible to dualizing, using the common extension of geometric face/vertex planar graph duality to cycle ...
McKee Terry A.
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