Graph neural networks (GNNs) witness impressive performances on homophilic graphs characterized by a higher number of edges connecting nodes of similar class labels. A decline in the performance of ...

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable ...

The present work provides a general framework for tree-partitioning problems based on mixed-integer linear programming (MILP). In particular, we present a novel MILP formulation to optimally solve ...