What Drives GNN Performance in Tissue Dynamics? Insights from Vertex-Model Simulations
This study benchmarks five Graph Neural Network architectures on 1,615 simulated tissue graphs undergoing T1 transitions, revealing that the Provably Powerful Graph Network (PPGN) achieves high accuracy with minimal data by employing a hybrid prediction strategy and highlighting tissue disorder as a key factor influencing model reliability.