• ###### vertices of the graph
• It fills space in the sense that for any plane in 3-space, there exist vertices of the graph on both sides of the plane. (wikipedia.org)
• The adjacency matrix of a graph is a matrix whose rows and columns are both indexed by vertices of the graph, with a one in the cell for row i and column j when vertices i and j are adjacent, and a zero otherwise. (wikipedia.org)
• ###### 2016
• Graph generated Wed Mar 2 12:11:24 2016. (jax.org)
• ###### Mathematics
• C. A. Barefoot and H. R. Entringer, "Vulnerability in graphs: a comparative survey," Journal of Combinatorial Mathematics and Combinatorial Computing , pp. 25-33, 1987. (hindawi.com)
• ###### Petersen
• A famous example is the Petersen graph , a concrete graph on 10 vertices that appears as a minimal example or counterexample in many different contexts. (wikipedia.org)
• ###### Harary
• F. Buckley and F. Harary, Distance in Graphs , 1990. (hindawi.com)
• ###### thesis
• G. Bacak Turan, Vulnerability parameters in graphs [Ph.D. thesis] , Ege University, 2010. (hindawi.com)
• ###### databases
• Develop, test, run, iterate and grow your enterprise applications with friction-less, agile development enabled by graph databases. (ibm.com)
• Graph databases come with enhanced connectivity of data and whiteboard friendly paradigm. (slideshare.net)
• This article aims to give an overview of the position of Graph Databases in the NOSQL-movement. (infoq.com)
• ###### connectivity
• Fiedler M (1973) Algebraic connectivity of graphs. (springer.com)
• ###### traversal
• Tree traversal is a special case of graph traversal. (wikipedia.org)
• Several special cases of graphs imply the visitation of other vertices in their structure, and thus do not require that visitation be explicitly recorded during the traversal. (wikipedia.org)
• A non-verbal description of three graph traversal algorithms: randomly, depth-first search, and breadth-first search. (wikipedia.org)
• As an example of this style, the Gremlin graph traversal language is presented. (slideshare.net)
• The language representation is then compiled to Gremlin bytecode to ultimately be executed by the/a Gremlin graph traversal machine. (slideshare.net)
• ###### theoretic
• Graphalyze-0.14.1.0: Graph-Theoretic Analysis library. (haskell.org)
• This general framework gives rise to a number of basic and widely studied graph routing problems, that have lead to the development of a rich toolkit of algorithmic techniques, as well as structural graph theoretic results. (princeton.edu)
• ###### data
• IBM Graph is designed to help you answer questions about large or complex networks of inter-related data. (ibm.com)
• It enhances the power of data connections by letting you store, query and visualize data points, connections and properties in a property graph. (ibm.com)
• Only a graph database provides constant read and write performance while the number and depth of data connections grow. (ibm.com)
• With just 3-4 simple lines of script, you can load your social media data, extract complex features, and generate a graph among arbitrary features. (microsoft.com)
• Graph is a family of rich, consistent REST APIs that provides vital connective tissue between applications, Azure cloud infrastructure, and IT resources and data stores. (microsoft.com)
• last year, Microsoft Principal Program Manager Yina Arenas explored the Graph APIs in her article, "Microsoft Graph: Gateway to Data and Intelligence" ( msdn.com/magazine/mt790189 ). (microsoft.com)
• The breadth of tools, SDKs, and documentation make Microsoft Graph the best way to access Microsoft data and insights. (microsoft.com)
• Plot a large number of points and updating one or more plots on the graph with new data, replacing the old plot with the new plot. (codeproject.com)
• Azure Cosmos DB - a multi-model database service - offers native support for Graphs, Document Data Models, Key-Value Pairs, and more. (infoq.com)
• Graph-Powered Machine Learning teaches you how to use graph-based algorithms and data organization strategies to develop superior machine learning applications. (manning.com)
• Graph-based machine learning is an incredibly powerful tool for any task that involves pattern matching in large data sets. (manning.com)
• By organizing and analyzing your data as graphs your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it's important to quickly identify and exploit relevant relationships. (manning.com)
• Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. (manning.com)
• Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. (manning.com)
• With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. (manning.com)
• Extracting data from graphs. (haskell.org)
• function in Data.GraphViz to determine potential graph layouts. (haskell.org)
• Powered by the Oracle Marketing Cloud and the Oracle Data Cloud, the powerful technology behind the Oracle ID Graph™ unites disparate data sources to form a unique, singular profile of consumers in the Oracle Data Management Platform. (oracle.com)
• With tools powered by the Oracle ID Graph to unify data across channels. (oracle.com)
• The Oracle ID Graph establishes and validates connections between IDs that enable the transport of data from one ID space to another, for the purposes of targeting or measurement applications. (oracle.com)
• ###### topologically
• Two periodic graphs are often called topologically equivalent if they are isomorphic, although not necessarily homotopic . (wikipedia.org)
• ###### cycles
• If the graph contains cycles, how can there exist allowed execution orders for your files? (stackoverflow.com)
• Yes, a topological sort is not possible if a graph contains cycles. (stackoverflow.com)
• ###### Methods
• New Methods to Color Vertices of a Graph," Communications of the ACM 22, 251-256. (springer.com)
• ###### Extract
• Extract planar graphs and hyper-graphs of co-occurrence relationships, and tracks contextual statistics for each relationship. (microsoft.com)
• ###### corresponds
• The opposite of a clique is an independent set , in the sense that every clique corresponds to an independent set in the complement graph . (wikipedia.org)
• ###### maximum clique
• A maximum clique of a graph, G , is a clique, such that there is no clique with more vertices. (wikipedia.org)
• Moreover, the clique number ω( G ) of a graph G is the number of vertices in a maximum clique in G . (wikipedia.org)
• ###### Given
• the task of finding whether there is a clique of a given size in a graph (the clique problem ) is NP-complete , but despite this hardness result, many algorithms for finding cliques have been studied. (wikipedia.org)
• PhyloGrapher is a drawing tool that generates custom graphs for a given set of elements. (debian.org)
• is indeed present in the given graph. (haskell.org)
• Create a new communicator whose topology is described by the given graph. (boost.org)
• In a typical routing problem, we are given a graph G, and a collection (s_1,t_1),…,(s_k,t_k) of pairs of vertices, called demand pairs, that we would like to route. (princeton.edu)
• ###### functions
• Specifically, we'll use Excel functions and graphing to explore the normal distribution family. (lynda.com)
• In this issue of MSDN Magazine, Mike Ammerlaan writes " Build the API to Your Organization with Microsoft Graph and Azure Functions ," in which he describes how the new Azure Functions Binding Extensions can be used to automate common tasks and processes. (microsoft.com)
• Our approach is based on characterizing the feasibility of graph watermarking in terms of keygen, marking, and identification functions defined over graph families with known distributions. (springer.com)