Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/69853
Title: New efficient neural network approach for processing graph structured data
Researcher: Meena rani, S M
Guide(s): Gnana jothi, R B
Keywords: Directed Positional Acyclic Graphs
Graph Neural Network
Graph structure
neural network
Recursive Neural Networks
University: Manonmaniam Sundaranar University
Completed Date: December 2013
Abstract: Graphs serve as important data structures in many applications including so newlinecial network web and Bio informatics Recursive Neural NetworksRNN are a newlineconnectionist model designed to process structured data RNN are particularly newlinesuited to process Directed Positional Acyclic GraphsDPAGs Graph Neural Net newlineworkGNN has been modeled to process data represented in graph domains con newlinesidering the topology of the graph newline newline
Pagination: viii, 116p.
URI: http://hdl.handle.net/10603/69853
Appears in Departments:Department of Mathematics

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07_chapter 2.pdf268.58 kBAdobe PDFView/Open
08_chapter 3.pdf760.2 kBAdobe PDFView/Open
09_chapter 4.pdf76.91 kBAdobe PDFView/Open
10_chapter 5.pdf1.53 MBAdobe PDFView/Open
11_chapter 6.pdf2.52 MBAdobe PDFView/Open
12_chapter 7.pdf21.08 kBAdobe PDFView/Open
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