Please use this identifier to cite or link to this item:
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.
Appears in Departments:Department of Mathematics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File40.11 kBAdobe PDFView/Open
02_certificate.pdf13.9 kBAdobe PDFView/Open
03_declaration.pdf17.81 kBAdobe PDFView/Open
04_acknowledgement.pdf14.96 kBAdobe PDFView/Open
05_content.pdf19.25 kBAdobe PDFView/Open
06_chapter 1.pdf58.96 kBAdobe PDFView/Open
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
13_reference.pdf34.35 kBAdobe PDFView/Open
14_publication.pdf14.25 kBAdobe PDFView/Open

Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.