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Edwin R. Hancock

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Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

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Mar 24, 2024
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock

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SSHPool: The Separated Subgraph-based Hierarchical Pooling

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Mar 24, 2024
Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

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AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

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Mar 24, 2024
Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock

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Graph Representation Learning for Infrared and Visible Image Fusion

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Nov 01, 2023
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock

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Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

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Jun 29, 2023
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock

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AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks

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Mar 04, 2023
Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock

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Quantum Graph Learning: Frontiers and Outlook

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Feb 02, 2023
Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock

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QESK: Quantum-based Entropic Subtree Kernels for Graph Classification

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Dec 10, 2022
Lu Bai, Lixin Cui, Edwin R. Hancock

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HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification

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Nov 08, 2022
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock

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