Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,354,998 papers from all fields of science
Search
Sign In
Create Free Account
Power graph analysis
In computational biology, power graph analysis is a method for the analysis andrepresentation of complex networks. Power graph analysis is the…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
13 relations
Broader (2)
Bioinformatics
Computational science
Biological network
Clique (graph theory)
Complex network
Computational biology
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Concept Lattices as a Search Space for Graph Compression
Lucas Bourneuf
,
J. Nicolas
International Conference on Formal Concept…
2019
Corpus ID: 189818465
Because of the increasing size and complexity of available graph structures in experimental sciences like molecular biology…
Expand
2019
2019
A search space of graph motifs for graph compression: From Powergraphs to triplet concepts. (Un espace de recherche des motifs de graphes pour la compression de graphe: de Powergraph aux concepts…
Lucas Bourneuf
2019
Corpus ID: 211194236
Power Graph Analysis is a lossless graph compression method aiming at reducing the visual complexity of a graph. The process is…
Expand
2017
2017
A Power-Graph Analysis of Non-fast Information Transmission
J. Mercik
Asian Conference on Intelligent Information and…
2017
Corpus ID: 33768505
Specific types of information (e.g. knowledge, intellectual capital, conversation) require different models in the analysis of…
Expand
2015
2015
Kompresi Basis Data Graph Menggunakan Power Graph Analysis
Fauzi Rahman
,
Kemas Rahmat Saleh
,
Akbar Gozali
2015
Corpus ID: 125312694
Basisdata Graph adalah basisdata yang menggunakan stuktur graph dengan node dan edge untuk menyimpan data. Dalam basisdata graph…
Expand
2015
2015
Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
M. Nenov
,
S. Nikolov
2015
Corpus ID: 195993772
2013
2013
Improved Optimal and Approximate Power Graph Compression for Clearer Visualisation of Dense Graphs
Tim Dwyer
,
Christopher Mears
,
K. Morgan
,
T. Niven
,
K. Marriott
,
M. Wallace
IEEE Pacific Visualization Symposium
2013
Corpus ID: 1892
Drawings of highly connected (dense) graphs can be very difficult to read. Power Graph Analysis offers an alternate way to draw a…
Expand
Review
2012
Review
2012
Mining potential research synergies from co-authorship graphs using power graph analysis
Iraklis Varlamis
,
G. Tsatsaronis
International Journal of Web Engineering and…
2012
Corpus ID: 17643984
Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich…
Expand
2012
2012
Applying Power Graph Analysis to Weighted Graphs
Niels Bloom
European Conference on Information Retrieval
2012
Corpus ID: 35527869
We expanded Power Graph Analysis for use with weighted graphs, applying the technique to document categorisation with promising…
Expand
2011
2011
Efficient community detection using power graph analysis
G. Tsatsaronis
,
M. Reimann
,
Iraklis Varlamis
,
Orestis Gkorgkas
,
K. Nørvåg
Large-Scale Distributed Systems for Information…
2011
Corpus ID: 10224386
Understanding the structure of complex networks and uncovering the properties of their constituents has been for many decades at…
Expand
2011
2011
How to Become a Group Leader? or Modeling Author Types Based on Graph Mining
G. Tsatsaronis
,
Iraklis Varlamis
,
+4 authors
M. Zschunke
International Conference on Theory and Practice…
2011
Corpus ID: 6235013
Bibliographic databases are a prosperous field for data mining research and social network analysis. The representation and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE