MuToN Quantifies Binding Affinity Changes upon Protein Mutations by Geometric Deep Learning by Pengpai Li, Zhi‐Ping Liu

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Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning by Zo Ahmed, Bertie Vidgen, Scott A. Hale

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A Comprehensive Survey on Geometric Deep Learning by Wenming Cao, Zhiyue Yan, Zhiquan He, Zhihai He

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Molecular geometric deep learning by Shen, Cong, Luo, Jiawei, Xia, Kelin

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Efficient graph convolutional networks for seizure prediction using scalp EEG by Manhua Jia, Wenjian Liu, Junwei Duan, Long Chen, C. L. Philip Chen, Qun Wang, Zhiguo Zhou

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Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber–Physical Complex Networks by Javier Villalba-Díez, Martin Molina, Joaquín Ordieres-Meré, Shengjing Sun, Daniel Schmidt, Wanja Wellbrock

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Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer’s disease by Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz, for the Alzheimer’s Disease Neuroimaging Initiative

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Tensor-CSPNet: a novel geometric deep learning framework for motor imagery classification by Ju, Ce, Guan, Cuntai

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Link Prediction in Time Varying Social Networks by Vincenza Carchiolo, Christian Cavallo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni

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Deep convolutional surrogates and freedom in thermal design by Hadi Keramati, Feridun Hamdullahpur

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3D physiologically-informed deep learning for drug discovery of a novel vascular endothelial growth factor receptor-2 (VEGFR2) by Mengyang Xu, Xiaoyue Xiao, Yinglu Chen, Xiaoyan Zhou, Luca Parisi, Renfei Ma

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Semantic segmentation of pyramidal neuron skeletons using geometric deep learning by Lanlan Li, Jing Qi, Yi Geng, Jingpeng Wu

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Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds by Jhonatan Contreras, Sven Sickert, Joachim Denzler

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A hybrid energy-based and AI-based screening approach for the discovery of novel inhibitors of JAK3 by Juying Wei, Youlu Pan, Zheyuan Shen, Liteng Shen, Lei Xu, Wenjuan Yu, Wenhai Huang

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Discovery of potential WEE1 inhibitors via hybrid virtual screening by Tingting Jin, Wei Xu, Roufen Chen, Liteng Shen, Jian Gao, Lei Xu, Xinglong Chi, Nengming Lin, Lixin Zhou, Zheyuan Shen, Bo Zhang

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Mean Estimation on the Diagonal of Product Manifolds by Mathias Højgaard Jensen, Stefan Sommer

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CayleyNets : graph convolutional neural networks with complex rational spectral filters by Levie, Ron, Monti, Federico, Bresson, Xavier, Bronstein, Michael M.

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Graph neural networks on SPD manifolds for motor imagery classification: a perspective from the time–frequency analysis by Ju, Ce, Guan, Cuntai

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Protein engineering in the deep learning era by Bingxin Zhou, Yang Tan, Yutong Hu, Lirong Zheng, Bozitao Zhong, Liang Hong

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Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics by David Massegur, Andrea Da Ronch

Subjects: “…geometric deep learning…”
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