Priority Queue

Priority queues, fundamental data structures for managing elements with associated priorities, are undergoing significant advancements. Research focuses on enhancing their efficiency through machine learning integration, creating differentiable neural priority queues for neural networks, and developing lock-free algorithms for high-performance, concurrent applications like real-time recommender systems. These improvements are impacting diverse fields, from optimizing emergency department patient flow through machine learning-based selection to enabling more efficient graph neural network architectures for complex reasoning tasks.