Created
January 14, 2022 20:40
-
-
Save gerritjandebruin/1d5a3b5411a36f0e4f213529987e2b24 to your computer and use it in GitHub Desktop.
Usefull to make any iteration you want in Latex.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
% Define research questions: https://tex.stackexchange.com/questions/525921/ideas-for-presenting-the-research-question | |
\usepackage{enumitem} | |
\newlist{questions}{enumerate}{2} | |
\setlist[questions,1]{wide=0pt,leftmargin=\parindent,label=RQ\arabic*.,ref=RQ\arabic*} | |
\setlist[questions,2]{label=(\alph*),ref=\thequestionsi(\alph*)} | |
% In document | |
\begin{questions} | |
\item \label{rq:events} How should event-based links, which may re-occur over time, be dealt with in order to accurately predict future links? | |
\item \label{rq:availability} To what extent does the availability of temporal information improve the performance of link prediction approaches? | |
\item \label{rq:structure} What is the relationship between structural network properties of temporal networks and the performance of the link prediction model? | |
\item \label{rq:node-or-edge} How can we use link prediction to understand whether the temporal aspect is governed by the temporal activity of nodes, or by that of the edges? | |
\end{questions} | |
% In document | |
As part of~\ref{rq:node-or-edge}, we use feature set~\ref{f:node} to capture the node activity. | |
% And feature sets, indicated with roman letters. | |
\newlist{featureset}{enumerate}{1} | |
\setlist[featureset]{leftmargin=\parindent,align=left,label=\Roman*,ref=\Roman*} | |
% In document: | |
\begin{featureset} | |
\item \label{f:edge} temporal weighed similarity heuristics | |
\item \label{f:static} static similarity heuristics | |
\item \label{f:node} node activity features | |
\end{featureset} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment