\appendix

\section{Supporting material}

\textbf{Note:} Bolded values indicate the lowest MRR for each reasoning task, highlighting the conditions under which each reasoner performs least effectively.

% Family OWL2Vec*
\begin{table}[htbp]
\centering
\caption{Results on \textit{family} ontology using \textit{OWL2Vec*} reasoner.}
\label{tab:results_owl2vec_family}
\resizebox{\textwidth}{!}{%
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.562 & 0.621 & 1.000 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.040 & 0.027 & 0.059 & 0.086 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.488 & 0.546 & 0.882 & 0.885 \\
\cline{3-6}
& Object Property Assertion & 0.036 & 0.023 & 0.050 & 0.074 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.450 & 0.505 & 0.808 & 0.813 \\
\cline{3-6}
& Object Property Assertion & 0.032 & 0.020 & 0.045 & 0.066 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.399 & 0.437 & 0.718 & 0.725 \\
\cline{3-6}
& Object Property Assertion & 0.030 & 0.018 & 0.041 & 0.061 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.381 & 0.410 & 0.698 & 0.708 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.028} & 0.016 & 0.037 & 0.057 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.347 & 0.383 & 0.615 & 0.621 \\
\cline{3-6}
& Object Property Assertion & 0.044 & 0.032 & 0.059 & 0.083 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.252 & 0.276 & 0.444 & 0.449 \\
\cline{3-6}
& Object Property Assertion & 0.048 & 0.036 & 0.060 & 0.081 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.199 & 0.216 & 0.350 & 0.353 \\
\cline{3-6}
& Object Property Assertion & 0.052 & 0.040 & 0.062 & 0.081 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & \textbf{0.166} & 0.182 & 0.291 & 0.294 \\
\cline{3-6}
& Object Property Assertion & 0.055 & 0.044 & 0.063 & 0.081 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.498 & 0.528 & 0.950 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.034 & 0.021 & 0.047 & 0.070 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.472 & 0.478 & 0.939 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.033 & 0.020 & 0.046 & 0.069 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.439 & 0.424 & 0.912 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.033 & 0.020 & 0.046 & 0.069 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.417 & 0.301 & 0.727 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.031 & 0.019 & 0.042 & 0.062 \\
\hline
\end{tabular}
}
\end{table}

% Family Box2El
\begin{table}[htbp]
\centering
\caption{Results on \textit{family} ontology using \textit{Box2EL} reasoner.}
\label{tab:results_box2el_family}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.299 & 0.165 & 0.882 & 1.000 \\
\cline{3-6}
& Object Property Assertion & 0.018 & 0.007 & 0.019 & 0.033 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.296 & 0.204 & 0.793 & 0.826 \\
\cline{3-6}
& Object Property Assertion & 0.011 & 0.003 & 0.011 & 0.019 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.295 & 0.224 & 0.728 & 0.760 \\
\cline{3-6}
& Object Property Assertion & 0.011 & 0.003 & 0.009 & 0.018 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.276 & 0.210 & 0.664 & 0.694 \\
\cline{3-6}
& Object Property Assertion & 0.012 & 0.003 & 0.010 & 0.020 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.271 & 0.209 & 0.643 & 0.675 \\
\cline{3-6}
& Object Property Assertion & 0.011 & 0.003 & 0.009 & 0.018 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.211 & 0.140 & 0.576 & 0.602 \\
\cline{3-6}
& Object Property Assertion & 0.018 & 0.007 & 0.018 & 0.032 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.155 & 0.100 & 0.414 & 0.430 \\
\cline{3-6}
& Object Property Assertion & 0.014 & 0.004 & 0.012 & 0.023 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.131 & 0.091 & 0.333 & 0.344 \\
\cline{3-6}
& Object Property Assertion & 0.014 & 0.004 & 0.013 & 0.023 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & \textbf{0.110} & 0.078 & 0.273 & 0.284 \\
\cline{3-6}
& Object Property Assertion & 0.015 & 0.005 & 0.014 & 0.025 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.287 & 0.164 & 0.836 & 0.908 \\
\cline{3-6}
& Object Property Assertion & 0.018 & 0.007 & 0.019 & 0.032 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.271 & 0.143 & 0.803 & 0.893 \\
\cline{3-6}
& Object Property Assertion & 0.018 & 0.006 & 0.018 & 0.031 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.262 & 0.128 & 0.773 & 0.867 \\
\cline{3-6}
& Object Property Assertion & 0.017 & 0.006 & 0.018 & 0.032 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.208 & 0.125 & 0.416 & 0.614 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.001} & 0.000 & 0.000 & 0.000 \\
\hline
\end{tabular} 
}
\end{table}

%Family R-GCN
\begin{table}[htbp]
\centering
\caption{Results on \textit{family} ontology using \textit{R-GCN}.}
\label{tab:results_rgcn_family}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.323 & 0.054 & 0.973 & 0.998 \\
\cline{3-6}
& Object Property Assertion & 0.040 & 0.016 & 0.054 & 0.080 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.369 & 0.111 & 0.924 & 0.973 \\
\cline{3-6}
& Object Property Assertion & 0.038 & 0.014 & 0.051 & 0.077 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.361 & 0.110 & 0.883 & 0.942 \\
\cline{3-6}
& Object Property Assertion & 0.037 & 0.014 & 0.049 & 0.074 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.367 & 0.123 & 0.842 & 0.926 \\
\cline{3-6}
& Object Property Assertion & 0.035 & 0.013 & 0.046 & 0.071 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.362 & 0.125 & 0.816 & 0.913 \\
\cline{3-6}
& Object Property Assertion & 0.034 & 0.012 & 0.044 & 0.068 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.410 & 0.157 & 0.889 & 0.990 \\
\cline{3-6}
& Object Property Assertion & 0.047 & 0.018 & 0.066 & 0.097 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.393 & 0.151 & 0.793 & 0.982 \\
\cline{3-6}
& Object Property Assertion & 0.053 & 0.021 & 0.075 & 0.110 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.395 & 0.171 & 0.734 & 0.975 \\
\cline{3-6}
& Object Property Assertion & 0.058 & 0.024 & 0.085 & 0.123 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.370 & 0.149 & 0.704 & 0.929 \\
\cline{3-6}
& Object Property Assertion & 0.059 & 0.022 & 0.086 & 0.128 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.324 & 0.054 & 0.934 & 0.995 \\
\cline{3-6}
& Object Property Assertion & 0.040 & 0.015 & 0.053 & 0.080 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.309 & 0.046 & 0.919 & 0.995 \\
\cline{3-6}
& Object Property Assertion & 0.040 & 0.015 & 0.053 & 0.079 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & \textbf{0.295} & 0.036 & 0.884 & 0.996 \\
\cline{3-6}
& Object Property Assertion & 0.038 & 0.014 & 0.051 & 0.077 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.333 & 0.106 & 0.794 & 0.991 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.031} & 0.009 & 0.036 & 0.063 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_100 OWL2Vec*
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_100} ontology using \textit{OWL2Vec*} reasoner.}
\label{tab:results_owl2vec_pizza100}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.279 & 0.176 & 0.616 & 0.980 \\
\cline{3-6}
& Object Property Assertion & 0.281 & 0.278 & 0.278 & 0.278 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.240 & 0.158 & 0.497 & 0.854 \\
\cline{3-6}
& Object Property Assertion & 0.272 & 0.269 & 0.269 & 0.269 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.215 & 0.142 & 0.431 & 0.770 \\
\cline{3-6}
& Object Property Assertion & 0.188 & 0.180 & 0.205 & 0.220 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.218 & 0.151 & 0.434 & 0.717 \\
\cline{3-6}
& Object Property Assertion & 0.179 & 0.174 & 0.174 & 0.174 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.200 & 0.125 & 0.416 & 0.716 \\
\cline{3-6}
& Object Property Assertion & 0.104 & 0.097 & 0.097 & 0.097 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.237 & 0.144 & 0.510 & 0.855 \\
\cline{3-6}
& Object Property Assertion & 0.263 & 0.246 & 0.353 & 0.387 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.207 & 0.125 & 0.452 & 0.749 \\
\cline{3-6}
& Object Property Assertion & 0.184 & 0.171 & 0.244 & 0.290 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.182 & 0.110 & 0.392 & 0.658 \\
\cline{3-6}
& Object Property Assertion & 0.156 & 0.140 & 0.206 & 0.257 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.168 & 0.106 & 0.340 & 0.604 \\
\cline{3-6}
& Object Property Assertion & 0.157 & 0.131 & 0.199 & 0.255 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.105 & 0.071 & 0.209 & 0.325 \\
\cline{3-6}
& Object Property Assertion & 0.015 & 0.012 & 0.013 & 0.016 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.069 & 0.046 & 0.124 & 0.194 \\
\cline{3-6}
& Object Property Assertion & 0.008 & 0.006 & 0.007 & 0.009 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.051 & 0.031 & 0.091 & 0.140 \\
\cline{3-6}
& Object Property Assertion & 0.005 & 0.004 & 0.005 & 0.006 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.040} & 0.023 & 0.066 & 0.108 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.004} & 0.003 & 0.004 & 0.005 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_100 Box2EL
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_100} ontology using \textit{Box2EL} reasoner.}
\label{tab:results_box2el_pizza100}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.114 & 0.001 & 0.083 & 0.903 \\
\cline{3-6}
& Object Property Assertion & 0.063 & 0.026 & 0.080 & 0.155 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.110 & 0.015 & 0.098 & 0.758 \\
\cline{3-6}
& Object Property Assertion & 0.023 & 0.009 & 0.024 & 0.042 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.107 & 0.021 & 0.113 & 0.666 \\
\cline{3-6}
& Object Property Assertion & 0.022 & 0.008 & 0.021 & 0.039 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.108 & 0.029 & 0.123 & 0.624 \\
\cline{3-6}
& Object Property Assertion & 0.023 & 0.008 & 0.025 & 0.046 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.129 & 0.052 & 0.181 & 0.632 \\
\cline{3-6}
& Object Property Assertion & 0.023 & 0.008 & 0.025 & 0.043 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.100 & 0.001 & 0.066 & 0.763 \\
\cline{3-6}
& Object Property Assertion & 0.062 & 0.025 & 0.080 & 0.153 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.087 & 0.000 & 0.064 & 0.653 \\
\cline{3-6}
& Object Property Assertion & 0.063 & 0.025 & 0.082 & 0.155 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.078 & 0.003 & 0.051 & 0.557 \\
\cline{3-6}
& Object Property Assertion & 0.065 & 0.028 & 0.084 & 0.152 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.073 & 0.003 & 0.051 & 0.517 \\
\cline{3-6}
& Object Property Assertion & 0.063 & 0.026 & 0.081 & 0.152 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.053 & 0.004 & 0.044 & 0.270 \\
\cline{3-6}
& Object Property Assertion & 0.002 & 0.000 & 0.000 & 0.001 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.043 & 0.007 & 0.044 & 0.151 \\
\cline{3-6}
& Object Property Assertion & 0.001 & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.039 & 0.007 & 0.040 & 0.105 \\
\cline{3-6}
& Object Property Assertion & 0.001 & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.036} & 0.008 & 0.034 & 0.080 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.001} & 0.000 & 0.000 & 0.000 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_100 R-GCN
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_100} ontology using \textit{R-GCN}.}
\label{tab:results_rgcn_pizza100}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.270 & 0.137 & 0.326 & 0.778 \\
\cline{3-6}
& Object Property Assertion & 0.067 & 0.014 & 0.072 & 0.149 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.246 & 0.121 & 0.276 & 0.735 \\
\cline{3-6}
& Object Property Assertion & 0.063 & 0.013 & 0.067 & 0.136 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.234 & 0.118 & 0.241 & 0.683 \\
\cline{3-6}
& Object Property Assertion & 0.057 & 0.010 & 0.058 & 0.119 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.237 & 0.122 & 0.255 & 0.651 \\
\cline{3-6}
& Object Property Assertion & 0.055 & 0.011 & 0.055 & 0.116 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & \textbf{0.226} & 0.115 & 0.235 & 0.623 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.054} & 0.010 & 0.053 & 0.110 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.244 & 0.126 & 0.254 & 0.732 \\
\cline{3-6}
& Object Property Assertion & 0.066 & 0.014 & 0.070 & 0.146 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.257 & 0.137 & 0.281 & 0.735 \\
\cline{3-6}
& Object Property Assertion & 0.065 & 0.014 & 0.070 & 0.142 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.258 & 0.134 & 0.294 & 0.742 \\
\cline{3-6}
& Object Property Assertion & 0.065 & 0.014 & 0.069 & 0.139 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.265 & 0.139 & 0.315 & 0.707 \\
\cline{3-6}
& Object Property Assertion & 0.067 & 0.014 & 0.072 & 0.146 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.285 & 0.149 & 0.369 & 0.758 \\
\cline{3-6}
& Object Property Assertion & 0.071 & 0.017 & 0.078 & 0.156 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.301 & 0.165 & 0.386 & 0.732 \\
\cline{3-6}
& Object Property Assertion & 0.070 & 0.015 & 0.077 & 0.156 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.315 & 0.170 & 0.421 & 0.745 \\
\cline{3-6}
& Object Property Assertion & 0.072 & 0.016 & 0.080 & 0.161 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.324 & 0.172 & 0.464 & 0.756 \\
\cline{3-6}
& Object Property Assertion & 0.071 & 0.015 & 0.081 & 0.160 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_250 OWL2Vec*
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_250} ontology using \textit{OWL2Vec*} reasoner.}
\label{tab:results_pizza_owl2vec}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.254 & 0.151 & 0.532 & 0.984 \\
\cline{3-6}
& Object Property Assertion & 0.280 & 0.278 & 0.278 & 0.278 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.234 & 0.149 & 0.479 & 0.884 \\
\cline{3-6}
& Object Property Assertion & 0.262 & 0.259 & 0.259 & 0.259 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.228 & 0.152 & 0.449 & 0.796 \\
\cline{3-6}
& Object Property Assertion & 0.130 & 0.125 & 0.125 & 0.125 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.205 & 0.132 & 0.390 & 0.714 \\
\cline{3-6}
& Object Property Assertion & 0.146 & 0.143 & 0.143 & 0.143 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.188 & 0.118 & 0.379 & 0.684 \\
\cline{3-6}
& Object Property Assertion & 0.072 & 0.067 & 0.069 & 0.077 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.216 & 0.125 & 0.454 & 0.847 \\
\cline{3-6}
& Object Property Assertion & 0.474 & 0.462 & 0.513 & 0.537 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.188 & 0.111 & 0.389 & 0.725 \\
\cline{3-6}
& Object Property Assertion & 0.334 & 0.322 & 0.363 & 0.393 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.170 & 0.102 & 0.344 & 0.648 \\
\cline{3-6}
& Object Property Assertion & 0.206 & 0.193 & 0.223 & 0.252 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.152 & 0.091 & 0.312 & 0.584 \\
\cline{3-6}
& Object Property Assertion & 0.211 & 0.197 & 0.229 & 0.258 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.110 & 0.078 & 0.206 & 0.333 \\
\cline{3-6}
& Object Property Assertion & 0.012 & 0.010 & 0.010 & 0.013 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.069 & 0.046 & 0.118 & 0.197 \\
\cline{3-6}
& Object Property Assertion & 0.007 & 0.005 & 0.006 & 0.007 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.051 & 0.031 & 0.089 & 0.141 \\
\cline{3-6}
& Object Property Assertion & 0.004 & 0.003 & 0.004 & 0.004 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.040} & 0.019 & 0.062 & 0.108 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.003} & 0.002 & 0.003 & 0.003 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_250 Box2EL
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_250} ontology using \textit{Box2EL} reasoner.}
\label{tab:results_pizza_box2el}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.114 & 0.000 & 0.070 & 0.922 \\
\cline{3-6}
& Object Property Assertion & 0.060 & 0.025 & 0.074 & 0.141 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.114 & 0.012 & 0.095 & 0.808 \\
\cline{3-6}
& Object Property Assertion & 0.021 & 0.009 & 0.021 & 0.036 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.119 & 0.027 & 0.129 & 0.723 \\
\cline{3-6}
& Object Property Assertion & 0.017 & 0.004 & 0.015 & 0.029 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.107 & 0.024 & 0.130 & 0.641 \\
\cline{3-6}
& Object Property Assertion & 0.017 & 0.004 & 0.016 & 0.030 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.118 & 0.042 & 0.166 & 0.615 \\
\cline{3-6}
& Object Property Assertion & 0.016 & 0.004 & 0.013 & 0.028 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.098 & 0.000 & 0.058 & 0.766 \\
\cline{3-6}
& Object Property Assertion & 0.060 & 0.025 & 0.076 & 0.146 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.085 & 0.000 & 0.047 & 0.651 \\
\cline{3-6}
& Object Property Assertion & 0.062 & 0.026 & 0.079 & 0.148 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.076 & 0.000 & 0.040 & 0.574 \\
\cline{3-6}
& Object Property Assertion & 0.062 & 0.027 & 0.079 & 0.147 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.069 & 0.000 & 0.043 & 0.515 \\
\cline{3-6}
& Object Property Assertion & 0.059 & 0.022 & 0.078 & 0.148 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.055 & 0.004 & 0.054 & 0.283 \\
\cline{3-6}
& Object Property Assertion & 0.001 & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.045 & 0.008 & 0.048 & 0.156 \\
\cline{3-6}
& Object Property Assertion & 0.001 & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.039 & 0.007 & 0.039 & 0.107 \\
\cline{3-6}
& Object Property Assertion & 0.001 & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.032} & 0.006 & 0.023 & 0.071 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.001} & 0.000 & 0.000 & 0.000 \\
\hline
\end{tabular} 
}
\end{table}

% Pizza_250 R-GCN
\begin{table}[htbp]
\centering
\caption{Results on \textit{pizza\_250} ontology using \textit{R-GCN}.}
\label{tab:results_pizza_rgcn}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.267 & 0.128 & 0.331 & 0.807 \\
\cline{3-6}
& Object Property Assertion & 0.067 & 0.015 & 0.075 & 0.148 \\
\hline\hline


\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.235 & 0.107 & 0.263 & 0.752 \\
\cline{3-6}
& Object Property Assertion & 0.060 & 0.012 & 0.064 & 0.130 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & \textbf{0.220} & 0.100 & 0.232 & 0.692 \\
\cline{3-6}
& Object Property Assertion & 0.055 & 0.011 & 0.057 & 0.116 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.222 & 0.102 & 0.257 & 0.662 \\
\cline{3-6}
& Object Property Assertion & 0.054 & 0.010 & 0.055 & 0.113 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.232 & 0.109 & 0.273 & 0.643 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.053} & 0.010 & 0.055 & 0.112 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.258 & 0.121 & 0.324 & 0.783 \\
\cline{3-6}
& Object Property Assertion & 0.065 & 0.013 & 0.072 & 0.146 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.256 & 0.122 & 0.318 & 0.760 \\
\cline{3-6}
& Object Property Assertion & 0.064 & 0.013 & 0.069 & 0.141 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.266 & 0.126 & 0.349 & 0.761 \\
\cline{3-6}
& Object Property Assertion & 0.064 & 0.014 & 0.068 & 0.142 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.256 & 0.119 & 0.327 & 0.742 \\
\cline{3-6}
& Object Property Assertion & 0.064 & 0.014 & 0.070 & 0.142 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.273 & 0.128 & 0.381 & 0.778 \\
\cline{3-6}
& Object Property Assertion & 0.069 & 0.015 & 0.077 & 0.155 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.290 & 0.150 & 0.382 & 0.731 \\
\cline{3-6}
& Object Property Assertion & 0.069 & 0.016 & 0.079 & 0.155 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.303 & 0.150 & 0.435 & 0.726 \\
\cline{3-6}
& Object Property Assertion & 0.068 & 0.015 & 0.077 & 0.154 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.297 & 0.154 & 0.400 & 0.705 \\
\cline{3-6}
& Object Property Assertion & 0.068 & 0.016 & 0.075 & 0.149 \\
\hline
\end{tabular} 
}
\end{table}

% OWL2Bench OWL2Vec*
\begin{table}[htbp]
\centering
\caption{Results on \textit{OWL2Bench} ontology using \textit{OWL2Vec*} reasoner.}
\label{tab:results_owl2vec_owl2dl1}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.280 & 0.171 & 0.727 & 0.996 \\
\cline{3-6}
& Object Property Assertion & 0.701 & 0.700 & 0.809 & 0.836 \\
\hline\hline


\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.251 & 0.158 & 0.646 & 0.815 \\
\cline{3-6}
& Object Property Assertion & 0.547 & 0.543 & 0.642 & 0.680 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.206 & 0.129 & 0.508 & 0.649 \\
\cline{3-6}
& Object Property Assertion & 0.446 & 0.450 & 0.528 & 0.563 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.188 & 0.119 & 0.451 & 0.596 \\
\cline{3-6}
& Object Property Assertion & 0.380 & 0.380 & 0.453 & 0.490 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.179 & 0.111 & 0.446 & 0.543 \\
\cline{3-6}
& Object Property Assertion & 0.361 & 0.360 & 0.441 & 0.484 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.288 & 0.167 & 0.774 & 0.943 \\
\cline{3-6}
& Object Property Assertion & 0.510 & 0.512 & 0.581 & 0.605 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.286 & 0.187 & 0.744 & 0.919 \\
\cline{3-6}
& Object Property Assertion & 0.405 & 0.401 & 0.487 & 0.513 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.248 & 0.138 & 0.696 & 0.890 \\
\cline{3-6}
& Object Property Assertion & 0.344 & 0.342 & 0.391 & 0.407 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.259 & 0.144 & 0.689 & 0.865 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.276} & 0.276 & 0.306 & 0.320 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.211 & 0.112 & 0.518 & 0.761 \\
\cline{3-6}
& Object Property Assertion & 0.637 & 0.648 & 0.779 & 0.833 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.174 & 0.069 & 0.420 & 0.627 \\
\cline{3-6}
& Object Property Assertion & 0.649 & 0.662 & 0.794 & 0.850 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.161 & 0.060 & 0.351 & 0.609 \\
\cline{3-6}
& Object Property Assertion & 0.651 & 0.658 & 0.799 & 0.856 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.154} & 0.056 & 0.335 & 0.554 \\
\cline{3-6}
& Object Property Assertion & 0.661 & 0.658 & 0.814 & 0.879 \\
\hline
\end{tabular} 
}
\end{table}

% OWL2Bench Box2EL
\begin{table}[htbp]
\centering
\caption{Results on \textit{OWL2Bench} ontology using \textit{Box2EL} reasoner.}
\label{tab:results_box2el_owl2dl1}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.175 & 0.038 & 0.521 & 0.823 \\
\cline{3-6}
& Object Property Assertion & 0.216 & 0.200 & 0.229 & 0.254 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.182 & 0.099 & 0.395 & 0.619 \\
\cline{3-6}
& Object Property Assertion & 0.171 & 0.166 & 0.174 & 0.185 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.139 & 0.075 & 0.272 & 0.465 \\
\cline{3-6}
& Object Property Assertion & 0.179 & 0.160 & 0.188 & 0.248 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.129 & 0.080 & 0.241 & 0.396 \\
\cline{3-6}
& Object Property Assertion & 0.086 & 0.079 & 0.086 & 0.093 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & 0.118 & 0.077 & 0.206 & 0.336 \\
\cline{3-6}
& Object Property Assertion & 0.080 & 0.072 & 0.081 & 0.090 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.182 & 0.064 & 0.486 & 0.785 \\
\cline{3-6}
& Object Property Assertion & 0.148 & 0.136 & 0.149 & 0.166 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.176 & 0.063 & 0.456 & 0.751 \\
\cline{3-6}
& Object Property Assertion & 0.110 & 0.101 & 0.106 & 0.110 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.169 & 0.058 & 0.436 & 0.713 \\
\cline{3-6}
& Object Property Assertion & 0.086 & 0.078 & 0.081 & 0.089 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.158 & 0.049 & 0.395 & 0.666 \\
\cline{3-6}
& Object Property Assertion & 0.081 & 0.072 & 0.078 & 0.087 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.120 & 0.037 & 0.276 & 0.481 \\
\cline{3-6}
& Object Property Assertion & 0.012 & 0.003 & 0.020 & 0.026 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.099 & 0.035 & 0.199 & 0.353 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.002} & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.086 & 0.033 & 0.150 & 0.280 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.002} & 0.000 & 0.000 & 0.000 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & \textbf{0.061} & 0.027 & 0.085 & 0.157 \\
\cline{3-6}
& Object Property Assertion & 0.003 & 0.000 & 0.002 & 0.004 \\
\hline
\end{tabular} 
}
\end{table}

% OWL2Bench R-GCN
\begin{table}[htbp]
\centering
\caption{Results on \textit{OWL2Bench} ontology using \textit{R-GCN}.}
\label{tab:results_owl2dl1_rgcn}
\resizebox{\textwidth}{!}{% 
\begin{tabular}{|l|l|c|c|c|c|}
\hline
& & \textbf{MRR} & \textbf{Hits@1} & \textbf{Hits@5} & \textbf{Hits@10} \\
\hline
\multirow{2}{*}{\textbf{No Noise}} 
& Membership & 0.252 & 0.086 & 0.449 & 0.945 \\
\cline{3-6}
& Object Property Assertion & 0.435 & 0.312 & 0.573 & 0.693 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Random Noise}} 
& Membership & 0.242 & 0.074 & 0.445 & 0.910 \\
\cline{3-6}
& Object Property Assertion & 0.460 & 0.341 & 0.596 & 0.702 \\
\hline
\multirow{2}{*}{\textbf{50\% Random Noise}} 
& Membership & 0.233 & 0.069 & 0.427 & 0.872 \\
\cline{3-6}
& Object Property Assertion & 0.430 & 0.317 & 0.550 & 0.671 \\
\hline
\multirow{2}{*}{\textbf{75\% Random Noise}} 
& Membership & 0.213 & 0.051 & 0.394 & 0.838 \\
\cline{3-6}
& Object Property Assertion & 0.446 & 0.345 & 0.552 & 0.654 \\
\hline
\multirow{2}{*}{\textbf{100\% Random Noise}} 
& Membership & \textbf{0.206} & 0.050 & 0.371 & 0.796 \\
\cline{3-6}
& Object Property Assertion & 0.440 & 0.336 & 0.553 & 0.656 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% GNN Noise}} 
& Membership & 0.256 & 0.088 & 0.458 & 0.943 \\
\cline{3-6}
& Object Property Assertion & 0.443 & 0.307 & 0.595 & 0.709 \\
\hline
\multirow{2}{*}{\textbf{50\% GNN Noise}} 
& Membership & 0.255 & 0.088 & 0.465 & 0.938 \\
\cline{3-6}
& Object Property Assertion & 0.430 & 0.297 & 0.577 & 0.711 \\
\hline
\multirow{2}{*}{\textbf{75\% GNN Noise}} 
& Membership & 0.261 & 0.091 & 0.482 & 0.941 \\
\cline{3-6}
& Object Property Assertion & 0.453 & 0.324 & 0.605 & 0.721 \\
\hline
\multirow{2}{*}{\textbf{100\% GNN Noise}} 
& Membership & 0.262 & 0.094 & 0.468 & 0.938 \\
\cline{3-6}
& Object Property Assertion & 0.467 & 0.336 & 0.617 & 0.747 \\
\hline\hline

\multirow{2}{*}{\textbf{25\% Logical Noise}} 
& Membership & 0.239 & 0.074 & 0.429 & 0.909 \\
\cline{3-6}
& Object Property Assertion & 0.293 & 0.182 & 0.397 & 0.546 \\
\hline
\multirow{2}{*}{\textbf{50\% Logical Noise}} 
& Membership & 0.235 & 0.071 & 0.409 & 0.913 \\
\cline{3-6}
& Object Property Assertion & 0.219 & 0.116 & 0.318 & 0.441 \\
\hline
\multirow{2}{*}{\textbf{75\% Logical Noise}} 
& Membership & 0.240 & 0.076 & 0.420 & 0.910 \\
\cline{3-6}
& Object Property Assertion & 0.186 & 0.098 & 0.260 & 0.393 \\
\hline
\multirow{2}{*}{\textbf{100\% Logical Noise}} 
& Membership & 0.252 & 0.085 & 0.429 & 0.908 \\
\cline{3-6}
& Object Property Assertion & \textbf{0.150} & 0.072 & 0.218 & 0.335 \\
\hline
\end{tabular} 
}
\end{table}

% Boxplot Family
\begin{figure}[!ht]
    \centering
    \caption{Variability of MRR on \textit{family} ontology.}
    \label{fig:boxplot_mrr_family}
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/family_boxplots_Membership.png}
    \end{tabular}
    \hfill 
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/family_boxplots_Link Prediction.png}
    \end{tabular}
\end{figure}

% Boxplot Pizza 100
\begin{figure}[!ht]
    \centering
    \caption{Variability of MRR on \textit{pizza\_100} ontology.}
    \label{fig:boxplot_mrr_pizza_100}
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/pizza_100_boxplots_Membership.png}
    \end{tabular}
    \hfill 
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/pizza_100_boxplots_Link Prediction.png}
    \end{tabular}
\end{figure}

% Boxplot Pizza 250
\begin{figure}[!ht]
    \centering
    \caption{Variability of MRR on \textit{pizza\_250} ontology.}
    \label{fig:boxplot_mrr_pizza_250}
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/pizza_250_boxplots_Membership.png}
    \end{tabular}
    \hfill 
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/pizza_250_boxplots_Link Prediction.png}
    \end{tabular}
\end{figure}

% Boxplot OWL2Bench
\begin{figure}[!ht]
    \centering
    \caption{Variability of MRR on \textit{OWL2Bench} ontology.}
    \label{fig:boxplot_mrr_OWL2Bench}
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/OWL2DL-1_boxplots_Membership.png}
    \end{tabular}
    \hfill 
    \begin{tabular}{@{}c@{}}
        \includegraphics[width=\textwidth]{figures/OWL2DL-1_boxplots_Link Prediction.png}
    \end{tabular}
\end{figure}