Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
Abstract: Knowledge graph, as a form of efficient organization of entities and concepts, can organize scattered distributed data and provide support for data analysis and knowledge reasoning for ...
An advanced MCP server implementation that combines Neo4j knowledge graphs, Qdrant vector databases, and sophisticated AI orchestration to create a hybrid reasoning system for knowledge management, ...
Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...
Abstract: Federated Graph Learning (FGL) combines the powerful graph data modeling capabilities of Graph Neural Networks (GNNs) with the distributed processing requirements of intelligent ...
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