AND/OR graph representation
Sequence-to-sequence modeling for graph representation learning
... unsupervised graph representation approach can be used not only in processing labeled data, such as in graph classification in bioinformatics, but can be also used in many practical applications, ...
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A standard for a graph representation for functional programs
... Work is progressing at Warwick and at Birmingham into graph reduction techniques for functional programs. In order to facilitate cooperation between the establishments it has been necessary to standardise the data ...
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Construction of Conceptual Graph Representation of Texts
... Figure 1: General architecture for the graph construction All documents are converted to XML format and sen- tential boundaries are identified. The documents are then parsed using Eugene Charniak’s maximum entropy ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... text representation method. Traditional methods of text representation model documents as bags of words using term-frequency index document frequency ...a graph based text representation ...
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Survey on Large Graph Analysis and Visualization
... large graph. GMine introduceses the concept of super graph ,Graph tree and CEPS ...sub graph ,it contains collection of paths connecting sub graph of ...query graph nodes and ...
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A Study of Structural Representation of Mechanisms Kinematic Chains
... Structural Representation of Mechanisms Kinematic Chains having simple jointed, different kinematic ...of representation of the kinematic structure (functional schematic representation, structural ...
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Chemical equation representation as directed graph
... One of the major issues in formalizing the dynamics of chemical reactions is that the graph representation of such reactions is not immediate. This is due to the case that chemical equations involve more ...
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A Graph Kernel based on Jensen-Shannon Representation
... DB representation is computed by measuring the entropies of subgraphs rooted at the centroid ...DB representation rooted at each vertex, and then compute the resulting m-layer JS ...JS representation ...
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Relative Representation Of Graph
... The more is the information, the better is the representation of statistical data (provided it’s easily comprehensible). If we can represent much more information say central tendency, deviations and statistical ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... Weighted Graph Matrix, and Mark Matrix in Figures 4, 5, and 7 ...directed Graph Matrix representation in ...directed graph from <s> to <t> is presented in ...reverse ...
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Matrix Representation of Double Layered Fuzzy Graph and its Properties
... The concept of fuzzy set was introduced by Zadeh in 1965. Fuzzy graph theory was introduced by Rosenfeld in 1975 [5]. It is well known that matrices play a major role in various areas such as mathematics, physics, ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... Table 4.5 shows that four path relations representing four hypotheses were significant. Graphical image of paths is presented in figure 4.1 and 4.2 .The results of boot strapping method (Table 4.5) show a p-value for ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... Nowadays data extracted from various or large database are transformed into meaningful structure. This transformed structure is used for various purpose and its powerful and produces an intended result. The size and ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... !"| | # (2) where E is the expected value. NL equidistant samples are taken from equation 2 to find the discrete representation of PAPR, $ is known as the oversampling factor. It is shown that L = 4 is a good ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... • Aspect-oriented software development: Aspect-oriented software development (AOSD) is a new approach to software development that addresses limitations inherent in other approaches, including object-oriented ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... The diversity of natural language for meaning representation in documents is one of the causes of information overload in information retrieval. Headline generation is an automatic text summarization technique ...
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Context dependent random walk graph kernels and tree pattern graph matching kernels with applications to action recognition
... context-dependent graph kernels of different orders. In our tree-pattern graph matching kernel, more topological structural information is ...pattern graph matching is ...concurrent graph and ...
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On the representation number of a crown graph
... More motivation points to study word representable graphs include the fact exposed in [8] that these graphs generalize several important classes of graphs such as circle graphs [4], 3-colourable graphs [1] and ...
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Representation and Analysis of Object Oriented Graph (OOG): A Graph Algorithmic Approach
... usage graph are proposed based on which test cases can be ...hierarchical graph where each node at the top layer is a sequence diagram and in the next layer is a SDG ...Relationship graph model that ...
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