As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

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 ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Search patents reveal how AI search systems interpret intent, evaluate content passages, and build brand understanding in ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...