<ul><li>Answer Set Networks (ASN) is proposed as a scalable approach to ASP-based Deep Probabilistic Logic Programming (DPPL).</li><li>ASNs leverage Graph Neural Networks (GNN) and GPU's batching and parallelization capabilities to efficiently solve encoded problems.</li><li>Experimental evaluations demonstrate that ASNs outperform CPU-bound NeSy systems on multiple tasks.</li><li>ASNs also contribute to the finetuning of Large Language Models (LLM) with DPPLs and the encoding of public aviation laws for drone navigation.</li></ul>

Answer Set Networks: Casting Answer Set Programming into Deep Learning

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