Guiding an Instantiation Prover with Graph Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00372206" target="_blank" >RIV/68407700:21730/23:00372206 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.29007/tp23" target="_blank" >https://doi.org/10.29007/tp23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.29007/tp23" target="_blank" >10.29007/tp23</a>
Alternative languages
Result language
angličtina
Original language name
Guiding an Instantiation Prover with Graph Neural Networks
Original language description
In this work we extend an instantiation-based theorem prover iProver with machine learning (ML) guidance based on graph neural networks. For this we implement an interactive mode in iProver, which allows communication with an external agent via network sockets. The external (ML-based) agent guides the proof search by scoring generated clauses in the given clause loop. Our evaluation on a large set of Mizar problems shows that the ML guidance outperforms iProver’s standard human-programmed priority queues, solving more than twice as many problems in the same time. To our knowledge, this is the first time the performance of a state-of-the-art instantiation-based system is doubled by ML guidance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR)
ISBN
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ISSN
2398-7340
e-ISSN
2398-7340
Number of pages
12
Pages from-to
112-123
Publisher name
EasyChair Publications
Place of publication
Manchester
Event location
Manizales
Event date
Jun 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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