Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...

Abstract: Distributed-memory graph applications are dominated by communication and synchronization overheads. For such applications, the communication pattern comprises of variable-sized data ...

Models engage in actual debate (see and respond to each other) Multi-round convergence with voting and confidence levels Full audit trail with AI-generated summaries Automatic early stopping when ...

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., ...