Oct 2, 2020 · We provide efficient algorithms for estimating its value, under suitable conditions, with significantly lower complexity than the exact approach.
Oct 2, 2020 · Abstract. A k-truss is an edge-induced subgraph H such that each of its edges belongs to at least k − 2 triangles of H. This notion has been ...
Efficient Estimation of Graph Trussness · A. Conte, R. Grossi, +1 author. Luca Versari · Published in arXiv.org 2 October 2020 · Computer Science, Mathematics.
Sep 12, 2024 · The aim of this paper is studying algorithmic aspects of graph trussness. While it is possible to show that the time complexity of computing ...
TL;DR: Li et al. as mentioned in this paper proposed efficient algorithms for truss maintenance in fully dynamic graphs by avoiding expensive re-computation, ...
Efficient Estimation of Graph Trussness. Conte, A., Grossi, R., Marino, A., & Versari, L. CoRR, 2020. Efficient Estimation of Graph Trussness [link] Paper ...
I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs
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We propose an 110 efficient algorithm following a semi-external model, which only allows node information to be loaded into main memory.
We design and develop a truss-equivalence based in- dex, EquiTruss, that is space-efficient, cost-effective, and amenable to dynamic changes in the graph G.
A k-truss is maximal when it is not a subgraph of another k-truss. Here we want to find the maximal k-trusses of a graph. Maximal Truss Finding Algorithm. How ...
To improve the efficiency, we propose an order-based D-Index, associated batch- update algorithms and a fully-dynamic query algorithm. Our ex- tensive ...