The problem of traffic dynamics prediction, aiming to capture the complicated patterns of urban dynamics and forecast short-term future traffic status, is essential for managing transportation systems ...

Since its development 100 years ago, quantum mechanics has revolutionized our understanding of nature, revealing a bizarre ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

Typical spatiotemporal graph forecasting methods process graph-structured spatiotemporal data respectively from spatial and temporal perspectives with the idea of divide and conquer. Existing works ...

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...