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GraphAgent is demonstrated, a user-friendly and effective system for knowledge-guided selection of Graph Neural Network models for new graph data that unifies over 413,000 performance records from public GNN benchmarks into a comprehensive Graph-Model Knowledge Graph (GMKG).
Meta-Moderator is introduced, a learnable framework that dynamically regulates debate and decides when to finalize an answer, and outperforms widely used decision layers and transfers across tasks and system configurations.
Diagnosing collective anomalies from urban trajectories is increasingly important for traffic governance, as it reveals what happened, who was involved, and where and when the event occurred. Existing detectors efficiently produce scores or labels, whereas vision--language pipelines provide richer semantics; neither co...
PolyUQuest is presented, a verifiable, structure-aware web RAG framework built on a heterogeneous graph that unifies hyperlink topology between pages, DOM hierarchy within pages, and entity-relation knowledge across pages.
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