Cover Image

Guiding Genetic Programming with Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wyrwiński, Piotr, Krawiec, Krzysztof
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning Symbolic Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Semantics-aware Search Operators for Genetic Programming
by: Wyrwiński, Piotr, et al.
Published: (2025)

Improving Evaluation of Recombination-based Cartesian Genetic Programming
by: Tran, Duy Long, et al.
Published: (2026)

Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
by: Le, Nam H., et al.
Published: (2025)

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
by: Shiraishi, Hiroki, et al.
Published: (2025)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2025)

Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)

Enes Causal Discovery
by: Kafantaris, Alexis
Published: (2026)

Looking Through Glass Box
by: Kafantaris, Alexis
Published: (2026)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
by: Matsubara, Yoshitomo, et al.
Published: (2022)

Learning Guided Automated Reasoning: A Brief Survey
by: Blaauwbroek, Lasse, et al.
Published: (2024)

Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
by: Harvey, Thomas R., et al.
Published: (2025)

Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
by: de Vries, Sigur, et al.
Published: (2026)

Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
by: Song, Sum Kyun, et al.
Published: (2026)

Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
by: Reser, Jared Edward
Published: (2022)

High-resolution spatial memory requires grid-cell-like neural codes
by: Cotteret, Madison, et al.
Published: (2025)

Learning Conjecturing from Scratch
by: Gauthier, Thibault, et al.
Published: (2025)

Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
by: Deng, Ou, et al.
Published: (2024)

Polyra Swarms: A Shape-Based Approach to Machine Learning
by: Klüttermann, Simon, et al.
Published: (2025)

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
by: Hayes, Conor F., et al.
Published: (2025)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)

Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
by: Cornei, Laura-Maria, et al.
Published: (2026)

Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
by: Bednarek, Jakub, et al.
Published: (2024)

Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
by: Houichime, Tarik, et al.
Published: (2025)

Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks
by: Smolensky, Paul, et al.
Published: (2024)

Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)

Dynamic Spiking Framework for Graph Neural Networks
by: Yin, Nan, et al.
Published: (2023)

MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
by: Yun, Daniel
Published: (2024)

SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph
by: Zhang, Huizhe, et al.
Published: (2025)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
by: Kocherovsky, Mark, et al.
Published: (2025)

SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)

Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
by: Gupta, Chakshu, et al.
Published: (2026)

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI
by: Yin, Xunzhao, et al.
Published: (2024)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)

Restricted Bayesian Neural Network
by: Ganguly, Sourav, et al.
Published: (2024)

Deep Oscillatory Neural Network
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)