An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic

Automated theorem proving in first-order logic is an active research area which is successfully supported by machine learning. While there have been various proposals for encoding logical formulas into numerical vectors -- from simple strings to more involved graph-based embeddings -- little is known about how these different encodings compare... (read more)

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