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- \subsection{DYCOS}
- \begin{frame}{}
- \begin{center}
- \Huge
- \textbf{DY}namic \textbf{C}lassification algorithm with
- c\textbf{O}ntent and \textbf{S}tructure
- \end{center}
- \end{frame}
- \begin{frame}{DYCOS}
- DYCOS zeichnet sich aus durch:
- \begin{itemize}
- \item \textbf{Geschwindigkeit}: < $10\si{\second}$ für
- \begin{itemize}
- \item $806\,635$ Knoten ($18\,999$ mit Labels)
- \item $4\,414\,135$ Kanten
- \end{itemize}
- \item \textbf{Genauigkeit}: > $65\%$
- \end{itemize}
- \end{frame}
- %\begin{frame}{Der Algorithmus}
- %\begin{algorithm}[H]
- % \begin{algorithmic}
- % \Function{DYCOS}{Network $G_t = (N_t, A_t, T_t), l, h, p_s$}
- % \ForAll{node $v$ in $T_t$} \Comment{Für jeden gelabelten Knoten}
- % \For{$i \in 1, \dots, l$}
- % \State Perform an $h$-hop random walk from $v$
- % \EndFor
- % \State Classify $v$ with the class labels most frequent
- % encountered
- % \EndFor
- % \EndFunction
- % \end{algorithmic}
- %\caption{DYCOS algorithm for classification with content and structure}
- %\label{alg:seq1}
- %\end{algorithm}
- %\end{frame}
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