\begin{table}[ht]
\centering
\scriptsize
\caption{Ablation study on layer depth (left) and graph convolution type (right) across different datasets. All results use the same evaluation protocol as the main results.}
\label{tab:ablation_layer_conv_all}
\begin{tabular}{l|ccc|cccc}
\toprule
\multirow{2}{*}{\textbf{Metric}} &
\multicolumn{3}{c|}{\textbf{Number of Layers}} &
\multicolumn{4}{c}{\textbf{Graph Convolution Type}} \\
& \textbf{2} & \textbf{3} & \textbf{4} &
\textbf{GCN} & \textbf{GIN} & \textbf{SAGE} & \textbf{GAT} \\

\midrule
\multicolumn{8}{c}{\textbf{Appendiceal Cancer}} \\
\midrule
\textbf{BAcc} & 90.44\textsubscript{5.08} & \textbf{92.56\textsubscript{6.36}} & 88.09\textsubscript{7.97} & 88.05\textsubscript{8.07} & 91.02\textsubscript{5.03} & 89.53\textsubscript{4.47} & \textbf{92.56\textsubscript{6.36}} \\
\textbf{AUC}  & 94.56\textsubscript{3.73} & \textbf{96.41\textsubscript{1.94}} & 95.83\textsubscript{2.12} & 93.39\textsubscript{3.39} & \textbf{97.45\textsubscript{1.63}} & 96.16\textsubscript{2.31} & 96.41\textsubscript{1.94} \\
\textbf{F1}   & 87.51\textsubscript{5.81} & \textbf{90.98\textsubscript{7.98}} & 86.31\textsubscript{10.53} & 83.76\textsubscript{11.67} & 87.79\textsubscript{5.84} & 85.57\textsubscript{7.00} & \textbf{90.98\textsubscript{7.98}} \\

\midrule
\multicolumn{8}{c}{\textbf{TCGA-ESCA}} \\
\midrule
\textbf{Accuracy} & \textbf{98.04\textsubscript{2.59}} & 98.02\textsubscript{1.62} & 98.02\textsubscript{1.62} & 96.73\textsubscript{2.04} & 96.09\textsubscript{2.40} & 98.02\textsubscript{1.62} & \textbf{98.02\textsubscript{1.62}} \\
\textbf{AUC}      & 99.64\textsubscript{0.44} & \textbf{99.91\textsubscript{0.17}} & 99.82\textsubscript{0.22} & 99.72\textsubscript{0.56} & 99.74\textsubscript{0.51} & \textbf{100.00\textsubscript{0.0}} & 99.91\textsubscript{0.17} \\

\midrule
\multicolumn{8}{c}{\textbf{TCGA-NSCLC}} \\
\midrule
\textbf{Accuracy} & 92.39\textsubscript{1.35} & 93.51\textsubscript{0.75} & \textbf{94.01\textsubscript{1.63}} & 91.58\textsubscript{1.60} & 93.51\textsubscript{2.33} & 91.99\textsubscript{2.27} & \textbf{93.51\textsubscript{0.75}} \\
\textbf{AUC}      & 97.31\textsubscript{1.05} & 97.15\textsubscript{1.47} & \textbf{97.69\textsubscript{1.15}} & 97.51\textsubscript{0.99} & \textbf{97.97\textsubscript{0.85}} & 97.10\textsubscript{1.37} & 97.15\textsubscript{1.47} \\

\midrule
\multicolumn{8}{c}{\textbf{BRACS}} \\
\midrule
\textbf{BAcc} & 31.77\textsubscript{6.18} & \textbf{33.76\textsubscript{6.07}} & 31.95\textsubscript{1.66} & 33.26\textsubscript{3.03} & \textbf{34.01\textsubscript{2.67}} & 33.76\textsubscript{5.33} & 33.76\textsubscript{6.07} \\
\textbf{AUC}      & 76.16\textsubscript{2.36} & 77.61\textsubscript{0.95} & \textbf{77.67\textsubscript{0.73}} & 76.30\textsubscript{0.88} & 76.26\textsubscript{0.92} & 75.95\textsubscript{3.12} & \textbf{77.61\textsubscript{0.95}} \\
\textbf{F1-macro}   & 28.06\textsubscript{6.00} & 28.74\textsubscript{6.08} & \textbf{29.14\textsubscript{2.45}} & 26.77\textsubscript{2.57} & \textbf{32.10\textsubscript{2.25}} & 29.93\textsubscript{4.91} & 28.74\textsubscript{6.08} \\

\bottomrule
\end{tabular}
\end{table}

