Works (5)
Updated: July 6th, 2023 11:35
2016 journal article
On size-constrained minimum s-t cut problems and size-constrained dense subgraph problems
THEORETICAL COMPUTER SCIENCE, 609, 434–442.
author keywords: At-least-k-subgraph problem; At-most-k-subgraph problem; Approximation algorithm; The minimum s-t cut with at-least-k vertices problem; The minimum s-t cut with at-most-k vertices problem; The minimum s-t cut with exactly k vertices problem
TL;DR:
The minimum s-t cut with at-least-k vertices problem, the minimum s -t cutWith at-most-k-subgraph problem, and the Minimum s-T cut with exactly k vertices problems are introduced and it is proved that they are NP-complete.
(via Semantic Scholar)
manuscript.elsevier.com (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2013 journal article
Discovery of extreme events-related communities in contrasting groups of physical system networks
DATA MINING AND KNOWLEDGE DISCOVERY, 27(2), 225–258.
author keywords: Spatio-temporal data mining; Complex network analysis; Community detection; Comparative analysis; Networkmotif detection; Extreme event prediction
TL;DR:
This paper forms a novel problem—detection of predictive and phase-biased communities in contrasting groups of networks, and proposes an efficient and effective machine learning solution for finding such anomalous communities.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2012 journal article
Community-based anomaly detection in evolutionary networks
Journal of Intelligent Information Systems, 39(1), 59–85.
TL;DR:
This work develops a parameter-free and scalable algorithm using a proposed representative-based technique to detect all six possible types of community-based anomalies: grown, shrunken, merged, split, born, and vanished communities, and detail the underlying theory required to guarantee the correctness of the algorithm.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2011 journal article
DENSE: efficient and prior knowledge-driven discovery of phenotype-associated protein functional modules
BMC SYSTEMS BIOLOGY, 5.
MeSH headings : Animals; Binding Sites; Cattle; Cell Movement; Cells, Cultured; Computer Simulation; Extracellular Matrix / metabolism; Fibronectins / metabolism; Humans; Models, Biological; Neuropilin-1 / metabolism; Pancreatic Elastase / metabolism; Phenotype; Rats; Receptors, Vascular Endothelial Growth Factor / metabolism; Signal Transduction; Systems Biology; Vascular Endothelial Growth Factor A / chemistry; Vascular Endothelial Growth Factor A / metabolism; Vascular Endothelial Growth Factor A / physiology
TL;DR:
A fast and theoretically guranteed method called DENSE (Dense and ENriched Subgraph Enumeration) that can take in as input a biologist's prior knowledge as a set of query proteins and identify all the dense functional modules in a biological network that contain some part of the query vertices is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
Theoretical underpinnings for maximal clique enumeration on perturbed graphs
THEORETICAL COMPUTER SCIENCE, 411(26-28), 2520–2536.
author keywords: Graph perturbation theory; Maximal clique enumeration; Graph algorithms; Uncertain and noisy data
TL;DR:
By enumerating only the difference set between the baseline and perturbed graphs' MCEs, the computational cost of enumerating the maximal cliques of the perturbed graph can be reduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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