Data organization through molecular networks has been used in metabolomics over the past years as a way to efficiently mine the massive amount of structural information produced by tandem mass spectrometry (MS). However, glycomics lags a step behind: carbohydrate structures involve numerous levels of isomerism, making MS and tandem MS blind to many key structural features of glycans. This roadblock can in part be alleviated with gas-phase ion mobility spectrometry (IMS), a method highly sensitive to isomerism. In this work, we propose a novel strategy for structural glycomics: molecular networking of high-resolution IMS/IMS spectra. We combine the cutting-edge strategies of tandem IMS and molecular networking of spectral data. We demonstrate that-when it comes to oligosaccharides and their numerous levels of isomerisms-molecular networks based on IMS/IMS spectra are widely superior to MS/MS-based networks to sort and organize molecules with a high degree of structural relevance.