G2Rec introduces a scalable framework that combines holistic graph-based user co-engagement modeling with semantic tokenization. It enables generative recommendation models to capture comprehensive, semantically grounded user interest prototypes without ground-truth user interests, outperforming existing methods in industrial-scale sequential recommendation.