Fig. 1.

IA-GCN consists of three main components: 1) Interpretable Attention Module (IAM): $\left.h_M,2\right)$ Graph Learning Module (GLM): $g_{\varphi }$, and 3) Classification Module: $f_{\theta }$. These are trained in an end-to-end fashion. In backpropagation, two loss functions are playing roles which are demonstrated in blue and red arrows.