no code implementations • 11 Oct 2023 • Drake Brown, Trevor Garrity, Kaden Parker, Jason Oliphant, Stone Carson, Cole Hanson, Zachary Boyd
We analyze the performance of graph neural network (GNN) architectures from the perspective of random graph theory.
no code implementations • 28 Jul 2017 • Zachary Boyd, Egil Bae, Xue-Cheng Tai, Andrea L. Bertozzi
We show that modularity optimization is equivalent to minimizing a convex TV-based functional over a discrete domain, again, assuming the number of communities is known.