Detailed routing is a challenging step of the physical design process, causing design rule violations and significant time costs. This article presents VioNet, a machine-learning framework that predicts the most common violations from a placed netlist. By using global routing congestion estimation instead of actual routing results, VioNet achieves substantial speedup.