Offseason programs are well underway across the NFL. Newcomers that arrived on their respective teams during the first major waves of free agency and the 2026 NFL Draft are starting to settle into ...

Abstract: Graph Neural Networks (GNNs) exploit topological structures—namely, node-to-node connections—to aggregate contextual information, thereby achieving strong performance across diverse domains.

Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...