If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: ...

Abstract: Human mobility is intricately influenced by urban contexts spatially and temporally, constituting essential domain knowledge in understanding traffic systems. While existing traffic ...

Kùzu is an embedded graph database built for query speed and scalability. It implements the property graph data model and is optimized for handling complex join-heavy analytical workloads on very ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

Search engines increasingly evaluate not just individual pages, but entire ecosystems of information surrounding brands, topics, and authors. In this environment, entity-based SEO has shifted from an ...

Abstract: Knowledge graph embedding maps the semantics of entities and relations to a low-dimensional space by optimizing the vector distance between positive and negative triples. Traditional ...