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\textbf{Likelihood}, $E_1$, is defined as:  \begin{equation}  E_1(u_i) = 1 - e^{\frac{1}{\sigma_{data}^2}(Pr(l_i|u_i))} e^{\frac{1}{\sigma_{d}^2}Pr(l_i|u_i)}  \end{equation}  \textbf{Prior energy}, $E_2$, simply measures the label agreement between adjacent nodes, defined as: