Abstract: This research presents an end-to-end IoT solution designed as a project, not a traditional lab setup. It simulates high-velocity data generation from smart meters and focuses on real-time ...

Abstract: Large Language Models (LLMs) excel at general-purpose reasoning by leveraging broad commonsense knowledge, but they remain limited in tasks requiring personalized reasoning over ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...

A Protégé plugin that combines Neo4j graph databases, in-memory vector storage, and AI models to enable Retrieval Augmented Generation (RAG) for ontology exploration and knowledge graph querying.

Our paper "Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation" AAAI 2025. The initial dataset(oidv6/v4-train/test/validation-annotations ...

A graph database company mined 150,000 Reddit posts to forecast plot outcomes for a TV show's final season. The technical choices it made along the way reveal why throwing unstructured data at AI and ...