STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

According to @deeplearningai and @akollegger, their new course 'Agentic Knowledge Graph Construction' demonstrates how leveraging a team of AI agents can automate the ...

Press 1 for "modify" mode. Click on a node to reverse its status. Press 2 for "connection" mode. Click on a node to mark it for connection, and click another to connect the marked node to the clicked ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

Abstract: In recent years, data-driven research in specific vertical fields has gained tremendous momentum. There is a huge amount of supply chains data spread across the enterprise information ...

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications. Most ...

The Graph is in a continuous downtrend with prices not respecting any support levels. Investors are keen to know if this token which claims to have strong fundamentals, has the capacity to recover in ...

Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...