\begin{table}[t]
\centering
\scriptsize
\caption{Ablation on normalization layers in ResGAT. Values are mean\textsubscript{std} over 5-fold cross-validation (\%).}
\label{tab:norm-ablation}
\setlength{\tabcolsep}{3pt}
\renewcommand{\arraystretch}{1.2}
\begin{tabular}{l|cc|cc|cc|cc}
\toprule
\multirow{2}{*}{\textbf{Normalization}} &
\multicolumn{2}{c|}{\textbf{Appendiceal Cancer}} &
\multicolumn{2}{c|}{\textbf{TCGA-NSCLC}} &
\multicolumn{2}{c|}{\textbf{TCGA-ESCA}} &
\multicolumn{2}{c}{\textbf{BRACS}} \\
& \textbf{BAcc} & \textbf{AUC} & \textbf{Accuracy} & \textbf{AUC} & \textbf{Accuracy} & \textbf{AUC} & \textbf{BAcc} & \textbf{AUC}\\
\midrule
InstanceNorm &
89.23\textsubscript{7.70} & 95.84\textsubscript{2.19} &
\textbf{93.51\textsubscript{0.66}} & \textbf{97.18\textsubscript{1.41}} &
98.02\textsubscript{1.62} & 99.91\textsubscript{0.17} &
33.45\textsubscript{2.33} & 76.03\textsubscript{1.91} \\
LayerNorm &
81.32\textsubscript{11.15} & 91.31\textsubscript{7.19} &
91.48\textsubscript{1.98} & 96.63\textsubscript{1.77} &
93.46\textsubscript{4.08} & 99.30\textsubscript{0.57} &
25.22\textsubscript{3.96} & 69.76\textsubscript{4.77} \\
GraphNorm &
\textbf{92.56\textsubscript{6.36}} & \textbf{96.41\textsubscript{1.94}} &
93.51\textsubscript{0.75} & 97.15\textsubscript{1.47} &
\textbf{98.02\textsubscript{1.62}} & \textbf{99.91\textsubscript{0.17}} &
\textbf{33.76\textsubscript{6.07}} & \textbf{77.61\textsubscript{0.95}} \\
\bottomrule
\end{tabular}
\end{table}