graph structure
Labelling matrices and index matrices of a graph structure
... of graph structure was introduced by ...’Generalised Graph Structures’, ...a Graph’, ...on graph structures in a previous ...of graph structures and prove that the collection of ...
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Modeling Graph Structure in Transformer for Better AMR to Text Generation
... syntactic structure, and then the surface ...propose graph- to-sequence models to encode graph structure di- ...and Graph Convolutional Network (GCN) (Duvenaud et ...tioned ...
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Real Time Face tracker based on Local Graph Structure Threshold (LGS-TH)
... Abstract: Face detection plays an important role in many applications such as face recognition, face image database, and video surveillance. In this paper a novel real time face tracking algorithm has been introduced ...
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The Graph Structure of the Internet at the Autonomous Systems Level during Ten Years
... the graph structure of the Internet at the Autonomous Systems (AS) level evolved during a ...AS graph and examine how many features related to structure, connectivity and centrality changed ...
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Sentiment Sentence Extraction Using a Hierarchical Directed Acyclic Graph Structure and a Bootstrap Approach
... new graph-based approach, called Hierarchical Directed Acyclic Graph kernels ...hierarchized graph-in-graph ...HDAG structure for the sentiment sentence ...
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TD-SIGNET: COMMUNITY MINING WITH WSD BASED ON IMPLIED GRAPH STRUCTURE IN SOCIAL NETWORKS
... a graph structure such as the Web has become an interesting research problem ...and graph partitioning methods, we propose a new model to more accurately define ...(TD-SIGNET) structure in the ...
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An open solution to discover the graph structure of World Wide Web
... topological structure has attracted con- cerns from the public for a while, its detailed knowledge are still inaccessible to common users due to many ...topological structure compared to the general ...web ...
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Dictionaries as Networks: Identifying the graph structure of Ogden’s Basic English
... similar structure from the point of view of networks, and as expected, their structural properties differ from networks obtained from other ...the structure of the languages and deserve to be studied in ...
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Graph structure in the web
... directed graph consists of a set of nodes, denoted V and a set of arcs, denoted ...the graph from u to ...directed graph, a strongly connected component (strong component for brevity) of this ...
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Exploiting Graph Structure for Accelerating the Calculation of Shortest Paths in Wordnets
... the structure-adapted shortest path search ...core graph area of the network, we used the same implemen- tation of the Floyd-Warshall algorithm as in the first ...core graph in WordNet, which allows ...
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Learning Entailment Relations by Global Graph Structure Optimization
... We modeled the problem as a graph learning problem, and searched for the best graph under a global transitivity constraint. Two objective functions were defined for the optimization procedure, one ...
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Improving Webs of Trust Through Predetermined Graph Structure
... The introducer system for extending a WoT results in organic growth. The struc- ture of the WoT matches the structure of the social connections among its members. A common method of building WoTs is a social ...
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The bow tie structure of the Bitcoin users graph
... Bitcoin graph have been ...transactions graph (Kondor et ...users graph (Ron and Shamir 2013; Meiklejohn et ...users graph instead of the transactions graph often results in more ...
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How Much Topological Structure Is Preserved by Graph Embeddings?
... topological structure information is preserved by the ...the graph reconstruction precision. However, this metric is based on graph reconstruction at the local scale of each node and thus cannot give ...
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AN INNOVATIVE TECHNIQUE IN DATA STRUCTURE TO FIND MINIMUM SPANNING TREE OF GRAPH
... data structure Tree is non linear data structure where data items can be stored and relationship can be established in hierarchical ...of graph[2]. A graph data structure consists of a ...
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GSSC: Graph Summarization based on both Structure and Concepts
... both structure and concepts may be ...for graph summarization based on both structure and ...a graph based on concepts or similarity of nodes and then tries to adjust the summary with the ...
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Information Network or Social Network? The Structure of the Twitter Follow Graph
... gle graph snapshot is that the graph structure is constantly ...Twitter graph snapshot contains a mix of new users who recently just discovered Twitter and experienced users who have been ...
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Weighted graph matching approaches to structure comparison and alignment and their application to biological problems
... ing combinations of node matches are visited and tested in depth-first search fashion. It is much more accurate than simulated annealing-based methods such as MATRIX (Ramani et al. (2005)) or MORPH (Jothi et al. (2005)) ...
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The Neighborhood Graph of a Graph
... Several graph valued functions in graph theory were studied, for example, in [4, 5, 6, 7, 8, 9, 10, 11, 12,13, 14, 15, 16] and also several graph valued functions in domination theory were studied, ...
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Representing Schema Structure with Graph Neural Networks for Text to SQL Parsing
... Schema structure is informative for predicting the SQL query. Consider a table with two columns, where each is a foreign key to two other tables ( student semester table in Figure 3). Such a table is commonly used ...
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