Abstract: Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the ...

Elon Musk predicts that traditional smartphones will evolve into lightweight edge nodes optimized for AI inference rather than standalone hardware. This is a broader architectural transformation ...

Edge & Node, the team that created The Graph, has launched ampersend, a management platform for coordinating how autonomous AI agents operate and transact, the company said on Thursday. Built on ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

In this tutorial, we implement the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical knowledge graphs using the BioCypher framework. By combining the ...

Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...

we believe that the addition of subgraph and graph visualization features would significantly enhance the user experience, especially for developers working with large, modular, or nested workflows.

MicroCloud Hologram Inc. has announced the launch of a blockchain-based edge storage system designed to enhance data circulation efficiency while ensuring data security and integrity. This system ...

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