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Title: Optimized Graph Search Using Multi-Level Graph Clustering
Page Link: Optimized Graph Search Using Multi-Level Graph Clustering -
Posted By: pervez4pari
Created at: Thursday 17th of August 2017 05:58:46 AM
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presented by:
Rahul Kala

Abstract
Graphs find a variety of use in numerous domains especially because of their capability to model common problems. The social networking graphs that are used for social networking analysis, a feature given by various social networking sites are an example of this. Graphs can also be visualized in the search engines to carry search operations and provide results. Various searching algorithms have been developed for searching in graphs. In this paper we propose that the entire network graph be ....etc

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Title: Parallel algorithms for graph theory problems
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Posted By: bhadanipriyanka
Created at: Thursday 17th of August 2017 08:14:29 AM
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Parallel algorithms for graph theory problems


Sparse and dense graphs
A graph G(V,E) is sparse if E is match smaller than O( V 2)
Matrix representation is suitable for dense graphs and list representation
for sparse
Spanning Tree
A spanning tree of a graph G is a tree that contains all vertices of G
A minimum spanning tree (MST) for a weighted graph is a spanning tree with
minimum weight
Prim s algorithm
Starts from an arbitrary vertex u
Repeat until all verti ....etc

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Title: aradhya tutorials notes graph theory
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Posted By: meer_hassan68
Created at: Thursday 17th of August 2017 05:09:27 AM
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Title: download invitation to graph theory book in arumugam ramachandran
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Posted By: nds989
Created at: Thursday 05th of October 2017 04:08:59 AM
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Title: application of graph theory in real life ppt
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Posted By: rashmi j
Created at: Thursday 05th of October 2017 03:59:47 AM
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Title: fuzzy graph theory applications
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Posted By: sreemon
Created at: Thursday 17th of August 2017 08:36:41 AM
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fuzzy graph theory applications

ABSTRACT

Abstract. A fuzzy graph (f-graph) is a pair G : (s, ) where s is a fuzzy subset of a set S and is a fuzzy relation on s. A fuzzy graph H : (t, u) is called a partial fuzzy subgraph of G : (s, ) if t (u) s(u) for every u and u (u, v) (u, v) for every u and v . In particular we call a partial fuzzy subgraph H : (t, u) a fuzzy subgraph of G : (s, ) if t (u) = s(u) for every u in t * and u (u, v) = (u, v) for every arc (u, v) in u*. A connected f-graph G : (s, ) is a fuzzy tree(f-tree) if it has a ....etc

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Title: invitation to graph theory by s arumugam pdf download graph
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Posted By: AliseCarter
Created at: Thursday 17th of August 2017 06:18:12 AM
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In mathematics and computer science, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of grap ....etc

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Title: application of graph theory of metabolic pathway filetype doc
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Posted By: aryasaumitra
Created at: Thursday 17th of August 2017 06:50:34 AM
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Title: applications of graph theory in computer science ppt
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Posted By: hrithik
Created at: Thursday 05th of October 2017 05:06:39 AM
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Title: fuzzy graph theory applications in real life
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Posted By: ziddy_keshav
Created at: Thursday 17th of August 2017 06:46:11 AM
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