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 ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

Abstract: Scheduling a task graph representing an application over a heterogeneous network of computers is a fundamental problem in distributed computing. It is known to be not only NP-hard but also ...

Abstract: Depression is one of the leading mental health disorders worldwide, particularly affecting young adults. Early identification is essential for timely intervention, yet detecting depressive ...