Graph theory

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In mathematics and computer science, graph theory is the study of graphs, mathematical structures used to model pairwise relations between objects from a certain collection. (Wikipedia.org)






Conferences related to Graph theory

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2013 IEEE International Conference on Data Engineering (ICDE 2013)

The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.


2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of Social Network Analysis and Mining (SNAM) in academia, politics, homeland security and business. The 2013 international conference on Advances in Social Network Analysis and Mining (ASONAM-13 will primarily provide an interdisciplinary venue brings together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. The conference will address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works on social network analysis and mining with their application to real life situations.

  • 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)

    In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business.

  • 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011)

    The international conference on Advances in Social Network Analysis and Mining (ASONAM 2011) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2011 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoreti

  • 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010)

    The international conference on Advances in Social Network Analysis and Mining (ASONAM 2010) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2010 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoreti

  • 2009 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2009)

    In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social websites, email logs, phone logs and instant messageing systems, which are widely analyzed using graph theory and machine learning techniques. People perceive teh web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community


2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged.


2011 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS)

The 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS 2011) will be held from April 23th to 24th, 2010 in Wuhan, China, which will bring together top researchers from Asian Pacific areas, North America, Europe and around the world to exchange research results and address open issues in all aspects of biomedical engineering, bioinformatics and computer science.


2011 3rd International Workshop on Education Technology and Computer Science (ETCS)

ETCS2011 will be held on 12-13 March, 2011 in Wuhan, China. ETCS2009 and ETCS2010 have been indexed by EI Compendex and ISTP. The ETCS2011 will bring together the top researchers from Asian Pacific nations, North America, Europe and around the world to exchange their research results and address open issues in Education Technology and Computer Science.

  • 2010 2nd International Workshop on Education Technology and Computer Science (ETCS)

    The 2nd International Workshop on Education Technology and Computer Science (ETCS2010) will be held on 6-7 March, 2010 in Wuhan, China. The workshop will bring together the top researchers from Asian Pacific nations, North America, Europe and around the world to exchange their research results and address open issues in Education Technology and Computer Science.


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Periodicals related to Graph theory

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Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.


Visualization and Computer Graphics, IEEE Transactions on

Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...




Xplore Articles related to Graph theory

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Graph theoretic q -ary codes (Corresp.)

Hakimi, S. Information Theory, IEEE Transactions on, 1971

This correspondence formulates ![GF(q)](/images/tex/5975.gif) matrix descriptions for a class of weighted, directed graphs. As a result of this formulation, the concept of graph theoretic error-correcting codes is generalized to the ![q](/images/tex/62.gif) -ary case. It is shown that graph theoretic ![q](/images/tex/62.gif) -ary codes are completely orthogonalizable and, hence, one-step majority decodable. It is also seen that known techniques for the augmentation ...


Consensus of Multiagent Networks with Time Delay

Yuliang Liu; Jie Zhu Natural Computation, 2008. ICNC '08. Fourth International Conference on, 2008

Consensus of multiagent networks with time delay is studied. Based on two prior models, a modified network model in which each communication receiver has the same time delay is presented. Then a criterion is proposed for choosing the time delay in solving the multiagent consensus problem. Simulations show that each communication receiver with the same time delay determined by the ...


Pattern Mining in Frequent Dynamic Subgraphs

Borgwardt, K.M.; Kriegel, H.-P.; Wackersreuther, P. Data Mining, 2006. ICDM '06. Sixth International Conference on, 2006

Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowledge. While current data mining deals with static graphs that do not change over time, coming years will see the advent of an increasing number of time series of graphs. In this article, we investigate how pattern ...


3D Vascular Shape Segmentation for Fluid-Structure Modeling

Hraiech, N.; Carrol, M.; Rochette, M.; Coatrieux, J.-L. Shape Modeling and Applications, 2007. SMI '07. IEEE International Conference on, 2007

Shape signatures are fundamental in medicine to characterize abnormal patterns and track their evolution over time. Beyond the diagnosis objective, they are critical to understand the relations between structures and functions as well as to design advanced image-guided therapy. One of the most critical steps in medical imaging remains segmentation, aimed at a fast, precise, robust and reproducible extraction of ...


Weighted Rough Graph and Its Application

Tong He; Yong Chen; Kaiquan Shi Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on, 2006

Rough graph is the graph that can be used to research uncertainty problems, and it is a new research tool to analyze the rough characteristic of the system according to Tong He and Kaiquan Shi. This paper makes further research on rough graph, and gives the definitions of class connection of rough graph and some subgraphs of rough graph. Furthermore, ...


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Educational Resources on Graph theory

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eLearning

Graph theoretic q -ary codes (Corresp.)

Hakimi, S. Information Theory, IEEE Transactions on, 1971

This correspondence formulates ![GF(q)](/images/tex/5975.gif) matrix descriptions for a class of weighted, directed graphs. As a result of this formulation, the concept of graph theoretic error-correcting codes is generalized to the ![q](/images/tex/62.gif) -ary case. It is shown that graph theoretic ![q](/images/tex/62.gif) -ary codes are completely orthogonalizable and, hence, one-step majority decodable. It is also seen that known techniques for the augmentation ...


Consensus of Multiagent Networks with Time Delay

Yuliang Liu; Jie Zhu Natural Computation, 2008. ICNC '08. Fourth International Conference on, 2008

Consensus of multiagent networks with time delay is studied. Based on two prior models, a modified network model in which each communication receiver has the same time delay is presented. Then a criterion is proposed for choosing the time delay in solving the multiagent consensus problem. Simulations show that each communication receiver with the same time delay determined by the ...


Pattern Mining in Frequent Dynamic Subgraphs

Borgwardt, K.M.; Kriegel, H.-P.; Wackersreuther, P. Data Mining, 2006. ICDM '06. Sixth International Conference on, 2006

Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowledge. While current data mining deals with static graphs that do not change over time, coming years will see the advent of an increasing number of time series of graphs. In this article, we investigate how pattern ...


3D Vascular Shape Segmentation for Fluid-Structure Modeling

Hraiech, N.; Carrol, M.; Rochette, M.; Coatrieux, J.-L. Shape Modeling and Applications, 2007. SMI '07. IEEE International Conference on, 2007

Shape signatures are fundamental in medicine to characterize abnormal patterns and track their evolution over time. Beyond the diagnosis objective, they are critical to understand the relations between structures and functions as well as to design advanced image-guided therapy. One of the most critical steps in medical imaging remains segmentation, aimed at a fast, precise, robust and reproducible extraction of ...


Weighted Rough Graph and Its Application

Tong He; Yong Chen; Kaiquan Shi Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on, 2006

Rough graph is the graph that can be used to research uncertainty problems, and it is a new research tool to analyze the rough characteristic of the system according to Tong He and Kaiquan Shi. This paper makes further research on rough graph, and gives the definitions of class connection of rough graph and some subgraphs of rough graph. Furthermore, ...


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