RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
	\centering
	\begin{adjustbox}{max width=\textwidth}
		\begin{tabular}{@{}lcccccccc@{}}
			\toprule
			                           & 20News            & R8             & AGNews            & BBCNews           & Classic3          & Classic4          & DBpedia           & Ohsumed           \\
			\midrule
			BERT$_\text{base}$         & 87.11             & 90.08          & 87.59             & 98.19             & 99.61             & \underline{98.52} & 97.38             & \underline{67.09} \\
			RoBERTa$_\text{base}$      & \underline{87.36} & \textbf{91.19} & \underline{88.33} & \underline{98.62} & \underline{99.75} & 98.19             & 97.26             & \textbf{67.42}    \\
			SBERT+LR                   & 87.26             & 89.22          & 88.05             & \textbf{99.06}    & 99.61             & 98.32             & 97.01             & 67.05             \\
			\midrule
			{SB+$F_{\text{APPNP}}$+LR} & 80.7              & 89.94          & \textbf{89.78}    & 95.51             & \textbf{100.0}    & \textbf{98.58}    & \underline{97.84} & 56.48             \\
			{SB+$F_{\text{DGC}}$+LR}   & 85.48             & 89.42          & 88.06             & 96.73             & 99.16             & 96.47             & \textbf{98.22}    & 58.11             \\
			{SB+$F_{\text{S²GC}}$+LR} & 83.35             & 90.22          & 86.25             & \underline{98.62} & 99.61             & 98.19             & 97.33             & 62.87             \\
			{SB+$F_{\text{SGC}}$+LR}   & 83.35             & 90.22          & 86.25             & \underline{98.62} & 99.61             & 98.19             & 97.33             & 62.87             \\
			\bottomrule
		\end{tabular}
	\end{adjustbox}
	\caption{Table 4: Classification results in terms of F1 score on the eight data sets.}
\end{table}