Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Psychologists have long known that social situations profoundly influence human behavior, yet have lacked a unified, ...

Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.

Abstract: Graph representation learning has become a vital tool for capturing intricate relationships within networked systems. However, as graphs scale up, data privacy concerns and regulatory ...

Abstract: In modern computer-aided design (CAD), Boundary Representation (B-rep) is a widely used geometric modeling technique in industrial design and manufacturing. However, existing B-rep ...