AI for complex networks formalizes structural, temporal, and dynamic properties via high-order representations (G = (V, E, H)), predictive modeling (\hat{A} \approx f(A, X)), and generative processes (\mathcal{L} = \sum D_{KL}(P||Q)). 

Very interesting..