A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

A simple way to give LLMs persistent memory across conversations. This server lets Claude or vscode remember information about you, your projects, and your preferences using a knowledge graph.

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

A deep learning system that uses Graph Attention Networks (GAT) and LSTM to predict volatility spillovers across the Electric Vehicle supply chain by modeling real supplier relationships extracted ...