This paper investigates the bipartite consensus tracking problem of one class of nonlinear multi-agent systems with antagonistic interactions in details. The communication relationship among agents is depicted as a directed signed graph, which is assumed to be structurally balanced. The bipartite consensus tracking problem is furthermore formulated by integrating with the signed graph network. Based on the nearest neighborhood rule, a distributed control law is designed accordingly with the aid of the Laplacian matrix, a pinning matrix, a signed function and a coupling gain parameter. The asymptotic stability of the closed-loop system is rigorously proved by the Lyapunov function with the aid of the Barbalat lemma. The lower bound condition for the coupling gain is derived to guarantee that the closed-loop system is asymptotical stable. The effectiveness of the proposed approach is finally verified by simulation results.