Algorithm 1 GraphNet based Structure-aware SCCA (GN-SCCA)
Require:
X = {x1, …, xn}T, Y = {y1, …, yn}T
	Ensure:
Canonical vectors u and v.
1:	Initialize u ∈ ℝp × 1, v ∈ ℝq × 1; L1=Du − Au and L2 = Dv − Av only from the training data;
2:	while not converged do
3:	while not converged regarding u do
4:	Calculate the diagonal matrix D1, where the k1-th element is $\frac{1}{2{\Vert u^{k_1}\Vert }_1}$;
5:	Update u = (λ1L1 + β1D1 + γ1XTX)−1 XTYv;
6:	end while
7:	while not converged regarding v do
8:	Calculate the diagonal matrix D2, where the k2-th element is $\frac{1}{2{\Vert v^{k_2}\Vert }_1}$;
9:	Update v = (λ2L2 + β2D2 + γ2YTY)−1 YTXu;
10:	end while
11:	end while
12:	Scale u so that ∥Xu∥2 = 1;
13:	Scale v so that ∥Yv∥2 = 1.