Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...