961b794e89dd3413f6a7 · Linear Time Vertex Partitioning on Massive Graphs
Linear Time Vertex Partitioning on Massive Graphs
The problem of optimally removing a set of vertices from a graph to minimize the size of the largest resultant component is known to be NP-complete. Prior work has provided near optimal heuristics with a high time complexity that function on up to hundreds
{
"title_en": "Linear Time Vertex Partitioning on Massive Graphs",
"designation": "",
"series": "",
"status": "",
"date": "2016-03-07",
"date_original": "March 7, 2016",
"url": "https://www.nist.gov/publications/linear-time-vertex-partitioning-massive-graphs",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Peter M. Mell , Richard Harang, Assane Gueye",
"abstract_excerpt_en": "The problem of optimally removing a set of vertices from a graph to minimize the size of the largest resultant component is known to be NP-complete. Prior work has provided near optimal heuristics with a high time complexity that function on up to hundreds",
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{
"title_en": "Linear Time Vertex Partitioning on Massive Graphs",
"designation": "",
"series": "",
"status": "",
"date": "2016-03-07",
"date_original": "March 7, 2016",
"url": "https://www.nist.gov/publications/linear-time-vertex-partitioning-massive-graphs",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Peter M. Mell , Richard Harang, Assane Gueye",
"abstract_excerpt_en": "The problem of optimally removing a set of vertices from a graph to minimize the size of the largest resultant component is known to be NP-complete. Prior work has provided near optimal heuristics with a high time complexity that function on up to hundreds"
}
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