Machine Learning, Artificial Intelligence, Graph Neural Networks, Deep Learning, Data Science.
adjacency matrix. More specifically, it is the binary cross-entropy between the target (A) and output (A’) logits. The second part is the KL-divergence between q​​(Z | X, A) and p(Z), where p(Z) = N(0,1). It measures how closely our q​​(Z | X, A) matches to p(Z). The advantage of using inner