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

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

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

5 November 2022

Edwin R. Hancock

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

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Title
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 306 8 0 16 Jun 2025
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-AttentionIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025 Van Thuy Hoang Hyeon-Ju Jeon O-Joun Lee 226 3 0 21 Apr 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization ApproachNeural Networks (NN), 2022 Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Ruibing Jin Jie Qiao Zijian Li 391 10 0 31 Dec 2024
Graph Signal Adaptive Message PassingIEEE Signal Processing Letters (SPL), 2024 Yi Yan Changran Peng E. Kuruoglu 243 4 0 23 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive SamplesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Yuntao Shou Xiangyong Cao Deyu Meng 232 16 0 14 Oct 2024
MALADY: Multiclass Active Learning with Auction Dynamics on GraphsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Gokul Bhusal Kevin Miller Ekaterina Merkurjev 369 1 0 14 Sep 2024
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning Kaizhe Fan Quanjun Li 270 0 0 12 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classificationNeural Networks (NN), 2024 Alan John Varghese Zhen Zhang George Karniadakis 299 7 0 29 Aug 2024
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification Feifei Qian Lixin Cui Yue Wang Hangyuan Du Lu Bai Edwin R. Hancock 164 0 0 24 Mar 2024
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Jiaxu Liu Xinping Yi Xiaowei Huang 335 4 0 03 Oct 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal ClassificationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023 Rafael Ayllón-Gavilán David Guijo Rubio Pedro Antonio Gutiérrez A. Bagnall César Hervás-Martinez 252 1 0 16 Jun 2023
High-order structure preserving graph neural network for few-shot learningIEEE Internet of Things Journal (IEEE IoT J.), 2020 Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 206 4 0 29 May 2020