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., ...

Graph Signal Processing (GSP) leverages pair-wise relationship between nodes of a graph to formulate operators on signals defined over the nodes. Most existing graph signal operators in the literature ...

Nvidia Stock Surges to All-Time Highs, but Can It Hold Its No. 1 Position? Motley Fool - Fri Jun 27, 9:22AM CDT ...

Oregon Gov. Tina Kotek is urging reforms to Multnomah County's Preschool for All program, citing hundreds of millions in unspent funds, low participation, and unmet goals for families in need.

The ability to detect change-points in a dynamic network or a time series of graphs is an increasingly important task in many applications of the emerging discipline of graph signal processing. This ...

Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the Greenland Ice ...