main.tex

\documentclass[12pt]{book}
\input{others/header}

\begin{document}

\selectlanguage{english}

%
% Intitution form
%

%\includepdf[fitpaper=true,pages=1]{chapter0/couverture.pdf}

%
% Version info
%

\pagestyle{empty}
\input{date}\newline
\input{revcount}\newline
\h{0}\newline
Ph. D. candidate: Jean-Charles Vialatte\newline
Supervisor: Gilles Coppin (professor at IMT Atlantique)\newline
Advisor: Vincent Gripon (researcher at IMT Atlantique)\newline
Jury director: Paulo Gonçalves (research director at ENS Lyon)\newline
Jury examiner 1: Pierre Borgnat (research director at ENS Lyon)\newline
Jury examiner 2: Matthias Löwe (professor at Münster university)\newline
Jury member: Juliette Mattioli (senior expert at Thales Palaiseau)\newline
Invited member: Mathias Herberts (chief technical officer at SenX)\newline
\h{0}\newline
Degree: Thèse de doctorat\newline
Subject: On convolution of graph signals and deep learning on graph domains\newline
Defense date: 2018-12-13\newline
Institutions: IMT Atlantique, COMUE Université Bretagne Loire\newline
Laboratory: IMTA dpt. ELEC, ITI, LUSSI and Lab-STICC\newline
Doctoral school: MathSTIC (601)\newline
Specialty: Computer science - Artificial intelligence (cs.ai)\newline
Funded by: SenX, ANRT

% \linenumbers

%\input{chapter0/title}

%
% Title
%

\title{\begin{large}\emph{On}\end{large}\\Convolution of Graph Signals\\\begin{large}\emph{And}\end{large}\\Deep Learning on Graph Domains}
\date{}
\maketitle

%
% Abstract
%

\frontmatter
\pagestyle{plain}
\input{chapter0/abstract}

%
% Table of contents
%

 \dominitoc
 \tableofcontents
 \adjustmtc

 % \listoffigures
 % \listoftables

% %
% % Glossary
% %

% \makeatletter\@openrightfalse\makeatother
% \newpage
% \chapter*{List of Symbols}
% \addcontentsline{toc}{chapter}{List of Symbols}
% \makeatletter\@openrighttrue\makeatother
% \adjustmtc

% \input{others/symbols}

%
% Introduction
%

\mainmatter
\pagestyle{headings}
\input{chapter0/intro}
%talk about graph == irregular

%
% Chapter 1
%

% cover
  \chapter{Presentation of the field}\label{chap:1}
  % \vfill\input{chapter1/intro1.tex}\newpage
  % \vfill\minitoc\newpage
  \minitoc\newpage
  \input{chapter1/intro1.tex}\newpage

% body
  \input{chapter1/tensors}\newpage
  \input{chapter1/nn}\newpage
  \input{chapter1/graphs}\newpage

%
% Chapter 2
%

\setcounter{chapter}{1}
\chapter{Convolution of graph signals}\label{chap:2}
% \input{chapter2/intro2.tex}%\newpage
% \vfill\minitoc\newpage
  \minitoc\newpage
  \input{chapter2/intro2.tex}\newpage

% body
\input{chapter2/conv}\newpage
\input{chapter2/groups}\newpage
\input{chapter2/edges}\newpage
\input{chapter2/groupoids}\newpage
\input{chapter2/recap2}\newpage

%
% Chapter 3
%
 \setcounter{chapter}{2}
 \chapter{Deep learning on graph domains}\label{chap:3}
 % \input{chapter3/intro3.tex}%\newpage
 % \vfill\minitoc\newpage
  \minitoc\newpage
  \input{chapter3/intro3.tex}\newpage


% body
 \input{chapter3/perspective}\newpage
 \input{chapter3/ternary}\newpage
 \input{chapter3/learningscheme}\newpage
 \input{chapter3/bastnet}\newpage
 \input{chapter3/recap3}\newpage

%
% Conclusion
%

\pagestyle{plain}
\chapter*{Conclusion}\label{chp:ccl}
\addcontentsline{toc}{chapter}{\nameref{chp:ccl}}
\input{chapter0/ccl}

%
% Bibliography
%

\backmatter
\printbibliography[heading=bibintoc]

%
% Appendix
%

\clearpage
%\appendix
\chapter*{Résumé en français}\label{chp:rsm}
\addcontentsline{toc}{chapter}{\nameref{chp:rsm}}
\input{chapter0/rsm}


%\clearpage \ifodd\value{page}\hbox{}\newpage\fi

%\thispagestyle{empty}
%\newpage
%\noindent\includepdf[fitpaper=true,pages=2]{chapter0/couverture.pdf}

\end{document}