This project explores the classification of bipartite graphs using deep learning methods. It combines classical graph theory techniques (like the Kernighan–Lin partitioning algorithm) with ...
Abstract Forty years ago, Kleitman considered the numbers of crossings in good planar drawings of the complete bipartite graph ${K_{m,n}}$. Among other things, he ...
We add a fixed number of vertices of degree 1 to each vertex from one part of a bipartite graph. We study characteristic, matching and some related polynomials for graphs obtained in this way.
Commutative algebra and graph theory are two vibrant areas of mathematics that have grown increasingly interrelated. At this interface, algebraic methods are applied to study combinatorial structures, ...
There was an error while loading. Please reload this page. You're given an undirected graph with N vertices labeled from 0 to N-1 and E edges. Check whether the graph ...
Gallai–Ramsey theory lies at the intersection of graph colouring and Ramsey theory, providing a framework for understanding how structures emerge in edge-coloured graphs. Central to this domain is the ...
Absolute Pearson Correlation,Adamantane,Automorphism Group,Chemical Structure,Class Of Graphs,Complete Bipartite Graph,Graph Measures,Graph Properties,Linear Graph ...
Abstract: This paper introduces Localized Bipartite Match Graph Attention Q-Learning (BMG-Q), a novel Multi-Agent Reinforcement Learning (MARL) algorithm framework tailored for ride-pooling order ...
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