ML Anthology

Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)

Piotr Wyrwinski, Krzysztof Krawiec
AAAI 2025 pp. 29529-29531
doi:10.1609/AAAI.V39I28.35314 /aaai/2025/wyrwinski2025aaai-neuro/

Abstract

This study introduces a neurosymbolic approach that performs iterative graph expansion guided by a graph neural network to solve symbolic regression problems. Empirical evaluation demonstrates superior performance of the method compared to baseline algorithms. We also integrate the method with an evolutionary algorithm, which results in further performance improvements.

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Cite

Text

Wyrwinski and Krawiec. "Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I28.35314

Markdown

[Wyrwinski and Krawiec. "Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/wyrwinski2025aaai-neuro/) doi:10.1609/AAAI.V39I28.35314

BibTeX

@inproceedings{wyrwinski2025aaai-neuro,
  title     = {{Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)}},
  author    = {Wyrwinski, Piotr and Krawiec, Krzysztof},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {29529-29531},
  doi       = {10.1609/AAAI.V39I28.35314},
  url       = {https://mlanthology.org/aaai/2025/wyrwinski2025aaai-neuro/}
}