Jan 22, 2020 · Here, we develop deterministic and random sampling algorithms that enable the fast discovery of the 3-cliques (triangles) of largest weight, as ...
Oct 1, 2019 · We develop a suite of deterministic and random sampling algorithms that enable the fast discovery of the 3-cliques (triangles) with the largest weight in a ...
Here, we develop deterministic and random sampling algorithms that enable the fast discovery of the 3-cliques (triangles) of largest weight, as measured by the ...
We present a suite of algorithms for fast top-weighted triangle enumeration. (Applications: link prediction, community detection). Able to compute top-100k ...
We Need effective techniques for retrieving triangles in large weighted graphs because existing triangle enumeration algorithms do not scale to massive graphs ...
[PDF] Retrieving Top Weighted Triangles in Graphs - SIAM NS20
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Jul 9, 2020 · For example, one of our proposed algorithms can find the top-1000 weighted triangles of a weighted graph with billions of edges in thirty ...
Retrieving Top Weighted Triangles in Graphs. This code accompanies the paper. Requirements. Datasets. Download the datasets from this webpage.
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Jan 20, 2020 · Triangle counting is a fundamental technique in network analysis, that has received much attention in various input models. The vast majority of ...
May 23, 2022 · We focus on triangles in such graphs and address the problem of retrieving the top- k weighted spatial triangles. This problem is ...
Dec 19, 2023 · Bibliographic details on Retrieving Top Weighted Triangles in Graphs.