latex beamer技巧

%章节标题
\section{Related work(LSH)}
%开始一页ppt
\begin{frame}{Related work}{}

\partitle{Locality-Sensitive Hashing, LSH} \\ \vspace{1ex}

\qquad  LSH reduces the dimensionality of \alert{high-dimensional data}. LSH hashes input items so that similar items map to the same “buckets” with high probability. \footnote{Locality-Sensitive Hashing, LSH. Wikipedia}

\vspace{2ex}
%插入图片
\begin{figure}[H]
    \includegraphics[width=6cm,height=3cm]{2}
    \hspace{3ex} 
    \includegraphics[width=4cm,height=3cm]{3}
\end{figure}

\end{frame}

 下面是整个ppt的模板

\documentclass[10pt, aspectratio=43]{beamer}
\usepackage[utf8]{inputenc}
\usepackage[english]{babel}
\usepackage{verbatim}
\usepackage{amsmath, amsfonts, amssymb, amsthm, bm}
\usepackage{graphicx, tikz, pgfplots}
\usepackage{times, courier, verbatim}
\usepackage{multicol, multirow}
\usepackage{booktabs}
\usepackage{caption}
%\usepackage[UTF8,noindent]{ctexcap}
\usetheme{CambridgeUS}
\usecolortheme{seahorse}
%主题：AnnArbor Antibes Bergen Berkeley Berlin Boadilla boxes CambridgeUS Copenhagen Darmstadt default Dresden Frankfurt Goettingen Hannover Ilmenau JuanLesPinsLuebeck Madrid Malmoe Marburg Montpellier PaloAlto Pittsburgh Rochester Singapore Szeged Warsaw
%颜色：albatross beaver beetle crane default dolphin dove fly lily orchid rose seagull seahorse sidebartab structure whale wolverine

\defbeamertemplate*{footline}{myfootline}
{%
    \leavevmode%
    \begin{beamercolorbox}[wd=.333333\paperwidth,ht=2.5ex,dp=1.125ex,center]{author in head/foot} Shan Yiran %
    \end{beamercolorbox}%
    \begin{beamercolorbox}[wd=.333333\paperwidth,ht=2.5ex,dp=1.125ex,center]{subsection in head/foot} Group\_meeting %
    \end{beamercolorbox}%
    \begin{beamercolorbox}[wd=.333333\paperwidth,ht=2.5ex,dp=1.125ex,center]{time in head/foot}
        \usebeamerfont{date in head/foot}\insertshortdate{}\hspace*{2em}
        \insertframenumber{} / \inserttotalframenumber\hspace*{2ex}
    \end{beamercolorbox}%
    \vskip0pt%
}

\newcommand{\partitle}[1]{\underline{\textbf{\large#1}}}
\setlength{\columnsep}{2ex}
\setbeamertemplate{items}[ball]
%\renewcommand\thesection{\arabic{section}} 
%\renewcommand\thesubsection{\thesection.\arabic{subsection}}

\begin{document}
    \setbeamertemplate{footline}{}
    \bibliographystyle{unsrt}
    \title{Graph Neural Networks}
    \subtitle {A review of Methods and Applications}
    \author{Shan Yiran}
    \institute {BNRIST Bioinformatics Division\\ Department of Automation \\Tsinghua University,Beijing 100084, China
    }
    \date{\today}
    \setbeamercovered{invisible}
    \setbeamertemplate{navigation symbols}{}
%第一页ppt
\begin{frame}
\titlepage
\end{frame}

\begin{frame}

\begin{center}
    \includegraphics[width=1\linewidth]{1}
\end{center}



\end{frame}
%测试ppt
\begin{frame}
\frametitle{Frame title}
\begin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
\end{block}
\begin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
\end{exampleblock}
\begin{alertblock}{Conclusion}
    Simmons Hall $\not=$ Simmons Dormitory.
\end{alertblock}
\end{frame}

%第二页ppt


\begin{frame}
\frametitle{Frame title}
\begin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
\end{block}
\begin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
\end{exampleblock}
\begin{alertblock}{Conclusion}
    Simmons Hall $\not=$ Simmons Dormitory.
\end{alertblock}
\end{frame}

\setbeamertemplate{footline}[myfootline]

\begin{frame}{Content}
\setbeamertemplate{section in toc}[]
\tableofcontents[]
\end{frame}

\AtBeginSection[] {
\begin{frame}<beamer>
\frametitle{Content}
\tableofcontents[currentsection]
\end{frame}
}


\section{The fundamental computing problem}

\begin{frame}{The fundamental computing problem}{}

\partitle{The query of High dimension data} \\ \vspace{1ex}

\qquad  \alert{Large-scale} and \alert{high dimension data} attracts more and more attention.

\vspace{2ex}

The specific application:

\begin{itemize}        
    \item Duplicate checking
    \item Identifying similar images in a database
    \item Identifying similar documentson the web
    \item Image retrieval 
    \item Music retrieval
    \item Fingerprint matching 
\end{itemize}         

\vspace{1ex}



\end{frame}


\section{Related work(LSH)}

\begin{frame}{Related work}{}

\partitle{Locality-Sensitive Hashing, LSH} \\ \vspace{1ex}

\qquad  LSH reduces the dimensionality of \alert{high-dimensional data}. LSH hashes input items so that similar items map to the same “buckets” with high probability. \footnote{Locality-Sensitive Hashing, LSH. Wikipedia}

\vspace{2ex}


\end{frame}

\section{The fly algorithm }

\begin{frame}{The fly algorithm}{based on the fly olfactory circuit}

\partitle{The fly algorithm principle} \\ \vspace{1ex}

\qquad  The fly circuit assigns
\alert{similar neural activity patterns} to similar odors, so that behaviors learned from one odor can
be applied when a similar odor is experienced.

\vspace{2ex}


\end{frame}

\section{Differences between Fly \& LSH}

\begin{frame}{Differences between Fly \& LSH}{}

\partitle{The fly algorithm principle} \\ \vspace{1ex}

\begin{itemize}        
    \item Sparse, binary random projections VS Dense,
    Gaussian random projections
    \item Expands the dimensionality VS Reduces
    the dimensionality
    \item The higher-dimensionality representation
    VS A dense representation.
\end{itemize}        
\vspace{2ex}


\end{frame}



\section{Result}

\begin{frame}{Result\&Conclusion}{}

\partitle{Overall comparison between the fly algorithm and LSH.} \\ \vspace{1ex}

\partitle{Conclussion: AI already has olfactory systems...}



\end{frame}

\begin{frame}{}{}
{\centering\begin{center}
        \bf \Huge  Thanks!
    \end{center} }
\end{frame}

\end{document}

编译器的设置：

 

 下面是具体的一些小贴士和实现效果，持续更新中...

1.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

文字加入边框：（exampleblock）

\begin{frame}
\frametitle{Frame title}
\begin{block}{Observation 1}
    Simmons Hall is composed of metal and concrete.
\end{block}
\begin{exampleblock}{Observation 2}
    Simmons Dormitory is composed of brick.
\end{exampleblock}
\begin{alertblock}{Conclusion}
    Simmons Hall $\not=$ Simmons Dormitory.
\end{alertblock}
\end{frame}

效果

2.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

举例

\begin{frame}
\begin{enumerate}
    \item haha
    
    \textbf{PGF}: dd
    
    \textbf{TikZ}: dd
    
    \item dd： dd(dd、2-dd-dd)
    \item dd：dd
\end{enumerate}
\end{frame}

效果

 

3.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

双栏

\begin{frame}[t]{Main Title}{Subtitle}
\begin{columns}
    \begin{column}[T]{0.5\textwidth}
        \includegraphics[width=\textwidth]{1}
    \end{column}
    \begin{column}[T]{0.5\textwidth}
        blah, blah, blah...
    \end{column}
\end{columns}
\end{frame}