We present a novel graph neural network (GNN) approach for cell tracking in high-throughput microscopy videos. By modeling the entire time-lapse sequence as direct where instances are represented by its nodes and their associations edges, we extract set of trajectories looking maximal paths graph. This is accomplished several key contributions incorporated into an end-to-end deep learning frame...