Abstract: Graph neural networks (GNNs) have excelled in handling graph-structured data, attracting significant research interest. However, two primary challenges have emerged: interference between ...

Abstract: Heterogeneous graphs provide a powerful framework for modeling complex relationships across multiple modalities, such as text, images, and structured subgraphs. A central question addressed ...

AI now generates more than 50% of the world’s code, and growing. The tooling that catches what that code breaks in production was not made to keep up with that speed of delivery. NodeSource, the ...