我需要 longtable 或其他包中的表格，我需要列标题、功能和亮点以及数据集。以下代码生成换行表，但我无法调整带文本换行的列大小以使其看起来更美观。请查看本文底部的附加图片。
现在所有列的大小都相同，但想要调整列大小并换行文本，例如“功能”列需要更大。
\documentclass{article}
\usepackage{longtable}
\usepackage{array}
\usepackage{amssymb}
\usepackage{xltabular}
\begin{center}
\begin{longtable}
{@{}
>{\raggedright}p{1.5in}
p{6.5cm}
>{\raggedleft}p{}@{1.5cm}
>{\raggedright}p{0.5cm}
p{3.5in}
@{}}
\caption{Previous Studies} \label{grid_mlmmh} \\
\hline
\multicolumn{1}{c}{\textbf{Studies(s)}} & \multicolumn{2}{c}{\textbf{Features and Highlights}} &
\multicolumn{2}{c}{\textbf{Dataset}}\\
\hline
\endfirsthead
\multicolumn{3}{c}%
{{\bfseries \tablename\ \thetable{} -- continued from previous page}} \\
\hline
\multicolumn{1}{c}{\textbf{Studies(s)}} & \multicolumn{1}{c}{\textbf{Features and Highlights}} &
\multicolumn{2}{c}{\textbf{Dataset}}\\
\endhead
\hline \multicolumn{3}{r}{{Continued on next page}} \hline
\endfoot
\hline \hline
\endlastfoot
\textbf{General Introduction}\\
\cite{Baldominos2019}& Dataset 1998 & Comparative Study \\
\cite{LeCunn1998} & Dataset & Multilayer Perceptron \\ \\
LeCun, et. al. \cite{Y.LeCun1998}& 1998 & Introduction of Dataset \\
\hline
\textbf{Survey} \\
\cite{Bianchini2006} Survey
\cite{Cai2018}, \cite{Goyal2018}, \cite{Cui2019}& comprehensive surveys on graph, network embeddings: (node clustering, node recommendation, link prediction, graph classification, visualization, systematic taxonomization), graph reconstruction and support network inference, survey of related studies &
BlogCatalog, Flicker, Twitter, DBLP, Cora, Citeseer, ArXiv, Biological, etc\\
\textbf{Recurrent Graph Neural Networks(RecGNNs)}\\
\textbf{Studies}: \cite{Scarselli2009}, \cite{Gallicchio2010}, \cite{Li2016},\cite{Dai2018}&
- Iterative information propagation from target node into neighbors
- Recursion and iteration, subgraph matching, the mutagenesis, ranking &
MNIST, Facebook Entity Relaionships\\
\textbf{Convolutional Graph Neural Netoworks(ConvGNNs)} \\
- \textbf{Spectral-based Approaches (spectral graph theory)} \\
\textbf{Studies}: \cite{Bruna2014}, \cite{Defferrard2016}, \cite{Kipf2017}, \cite{Li2018}, \cite{Z}&
&
- Spectral formulation, Strictly localized filters, low computational complexity, efficient pooling,
- Features of Geometric Properties to low-dimensional grid structure (eg data of social networks, collaborative filtering)
- general non-Euclidean domains (eg unstructured text data)
- Graph Estimation procedures &
MNIST, 20NEWS, Citation Networks (eg PubMed, CiteSeer) \\
- \textbf{Spatial-based Approaches}\\
\textbf{Studies: } \cite{Micheli2009}, \cite{Atwood2016}, \cite{Niepert2016}, \cite{Hamilton2017}, \cite{Gao2018}, \cite{Tran2019}&
\textbf{Features: }\\
- cascade correlation, recursive neural networks, learning in strctured domains\\
- graph diffusion, normalization of graph structure, \\
\textbf{Example Dataset: } Quantitative structure-property
relationship (QSPR) of Alkanes, CORA and Pubmed, \\power grid system in the USA, email-enron \\
\hline
\textbf{Graph Autoencoders(GAEs)}\\
\textbf{Studies: }\\
\textbf{Features: }\\
\textbf{Example Dataset: }\\
\hline
\textbf{Spatial-temporal Graph Neural Networks(STGNNs)} \\
\hline
\end{longtable}
\end{center}
答案1
我猜你正在寻找如下的故事：
为此，您的 MWE 添加了以下包：
\usepackage{geometry}
\usepackage{ragged2e}
\usepackage{booktabs, makecell}
\usepackage{enumitem}
\usepackage{microtype}
完整的 MWE 是：
\documentclass{article}
\usepackage{geometry}
\usepackage{ragged2e}
\usepackage{booktabs, makecell, xltabular}
\renewcommand\theadfont{\small\bfseries}
\renewcommand\theadgape{}
\newcolumntype{L}[1]{>{\RaggedRight%
\hsize=#1\hsize%
\linewidth=\hsize}X}
\usepackage{enumitem}
\usepackage{microtype}
\begin{document}
\begingroup
\setlist[itemize]{nosep,
label=\textbullet,
wide,
after={\end{minipage}},
before={\begin{minipage}[t]{\linewidth}}
}
\begin{xltabular}{\linewidth}{@{} L{0.6}
>{\hsize=1.2\hsize\linewidth=\hsize}X
L{1.2}
@{}}
\caption{Previous Studies}
\label{grid_mlmmh} \\
\toprule
\thead{Studies(s)}
& \thead{Features and Highlights}
& \thead{Dataset} \\
\midrule
\endfirsthead
\caption[]{Previous Studies -- continued from previous page} \\
\thead{Studies(s)}
& \thead{Features and Highlights}
& \thead{Dataset} \\
\midrule
\endhead
\multicolumn{3}{r}{\small\itshape{Continued on next page}} \\
\endfoot
\bottomrule
\endlastfoot
% table body
\textbf{Survey} & & \\
\cite{Bianchini2006}, \cite{Cai2018}, \cite{Goyal2018}, \cite{Cui2019}
& comprehensive surveys on graph, network embeddings: (node clustering, node recommendation, link prediction, graph classification, visualization, systematic taxonomization), graph reconstruction and support network inference, survey of related studies
& BlogCatalog, Flicker, Twitter, DBLP, Cora,
Citeseer, ArXiv, Biological, etc \\
\addlinespace
\multicolumn{3}{l}{%
\thead{Recurrent Graph Neural Networks(RecGNNs)}} \\
\textbf{Studies}: & & \\
\cite{Scarselli2009}, \cite{Gallicchio2010}, \cite{Li2016}, \cite{Dai2018}
& \begin{itemize}
\item Iterative information propagation from target node into neighbors
\item Recursion and iteration, subgraph matching, the mutagenesis, ranking
\end{itemize}
& MNIST, Facebook Entity Relaionships \\
\addlinespace
\multicolumn{3}{l}{%
\thead{Convolutional Graph Neural Netoworks(ConvGNNs)}} \\
\addlinespace
\multicolumn{3}{l}{%
\thead{Spectral-based Approaches (spectral graph theory)}} \\
\textbf{Studies}: & & \\
\cite{Bruna2014}, \cite{Defferrard2016}, \cite{Kipf2017}, \cite{Li2018}, \cite{Z}
& \begin{itemize}
\item Spectral formulation, Strictly localized filters, low computational complexity, efficient pooling,
\item Features of Geometric Properties to low-dimensional grid structure (eg data of social networks, collaborative filtering)
\item general non-Euclidean domains (eg unstructured text data)
\item Graph Estimation procedures
\end{itemize}
& MNIST, 20NEWS, Citation Networks (eg PubMed, CiteSeer) \\
\end{xltabular}
\endgroup
\end{document}