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cs.LG2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen +3
Quantum Machine Learning (QML) offers tremendous potential but is currently limited by the availability of qubits. We introduce an innovative approach that utilizes pre-trained neu…
q-bio.BM2024
T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction
Abdulrahman Ibraheem, Narsis Kiani, Jesper Tegner
This paper studies the usefulness of incorporating path information in predicting chemical properties from molecular graphs, in the domain of QSAR (Quantitative Structure-Activity…