A new schema-validated biomedical knowledge graph with rich properties and provenance, plus an LLM-agent validation showing 70% of sampled edges have literature support.
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EUPHORIA is a hybrid framework using meta-learning via graph hypernetworks, physics-biased attention in graph transformers, and residual stability correction for few-shot adaptable robotic assembly planning.
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Unifying biomedical knowledge in a modern multimodal graph
A new schema-validated biomedical knowledge graph with rich properties and provenance, plus an LLM-agent validation showing 70% of sampled edges have literature support.
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EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly
EUPHORIA is a hybrid framework using meta-learning via graph hypernetworks, physics-biased attention in graph transformers, and residual stability correction for few-shot adaptable robotic assembly planning.