BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Furthermore, contemporary studies have employed spectral techniques to analyse eigenvalue distributions, enhancing the predictive power of graph limit models and their relation to random ...

“The ability to run Python in Excel simplifies McKinney's reporting workflows. We used to manipulate data structures, filter, and aggregate data in a Jupyter Notebook, and build visuals in Excel. Now ...

Chain-of-Thought (CoT) Distillation. When faced with diverse graph data, language models may encounter new or unfamiliar patterns and structures. This distribution shift can pose challenges in ...

a collection of examples and reference implementations for working with the Timbr LangChain SDK, LangGraph, and GraphRAG. The examples demonstrate how to use Timbr's ontology-driven semantic layer, ...