2 papers
q-bio.BM2024
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
Taojie Kuang, Yiming Ren, Zhixiang Ren
Molecular property prediction, crucial for early drug candidate screening and optimization, has seen advancements with deep learning-based methods. While deep learning-based method…
astro-ph.IM2024
Dilated convolutional neural network for detecting extreme-mass-ratio inspirals
Tianyu Zhao, Yue Zhou, Ruijun Shi +2
The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due to their complex waveforms, extended duration, and low signal-to-noise ratio (SNR), making them more challeng…