Quantum-Inspired Hybrid Genetic Algorithm and Graph Neural Network Ensemble for Multimodal Classification
IEEE 7th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), sole author
Combines a quantum-inspired genetic algorithm (qubit-encoded chromosomes updated by quantum-rotation gates) with a graph neural network, joins them with a learned late-fusion layer, and explains predictions with SHAP. In the paper’s experiments it reached F1 0.57, against 0.55 for Random Forest and 0.52 for SVM.
Cite this paper
@inproceedings{samanta2025qihga,
author = {Samanta, Aaryan},
title = {Quantum-Inspired Hybrid Genetic Algorithm and Graph Neural Network
Ensemble for Multimodal Classification},
booktitle = {2025 7th International Conference on Artificial Intelligence and
Advanced Manufacturing (AIAM)},
year = {2025},
month = nov,
publisher = {IEEE},
url = {https://ieeexplore.ieee.org/document/11322272}
}