Neighbourhood Evaluation Criteria for Vertex Cover Problem

2020-05-07 · Kaustubh K Joshi

Neighbourhood Evaluation Criteria is a heuristical approximate algorithm that attempts to solve the Minimum Vertex Cover. degree count is kept in check for each vertex and the highest count based vertex is included in our cover set. In the case of multiple equivalent vertices, the one with the lowest neighbourhood influence is selected. In the case of still existing multiple equivalent vertices, the one with the lowest remaining active vertex count (the highest Independent Set enabling count) is selected as a tie-breaker.

📄 PDF Abstract BibTeX arXiv:2005.05065

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Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs

2019-09-20 · Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh

To perform visual data exploration, many dimensionality reduction methods have been developed. These tools allow data analysts to represent multidimensional data in a 2D or 3D space, while preserving as much relevant inf…

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Function Space Pooling For Graph Convolutional Networks

2019-05-15 · Padraig Corcoran

Convolutional layers in graph neural networks are a fundamental type of layer which output a representation or embedding of each graph vertex. The representation typically encodes information about the vertex in question…

General Classification Graph Classification

Neighbourhood Evaluation Criteria for Vertex Cover Problem

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