Graph Domain Adaptation via Theory-Grounded Spectral Regularization.

, respectively. In a nut-shell, our study paves the way toward explicitly constructing and training GNNs that can capture more transferable representations across graph domains. Codes are released at https://github.com/Shen-Lab/GDA-SpecReg.