Abstract: Human motion prediction aims to reveal the spatiotemporal patterns of the behavioral dynamic evolution, and its core challenge lies in extracting physically interpretable spatio-temporal ...

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...

The Quantum Lattice Model (QLM) is a deterministic phase–action framework in which fundamental physics emerges from discrete Planck-scale lattice dynamics. In QLM, spacetime is modeled as a ...

In this tutorial, we build an end-to-end, production-style agentic workflow using GraphBit that demonstrates how graph-structured execution, tool calling, and optional LLM-driven agents can coexist in ...