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

5 November 2022

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

9 / 9 papers shown

Title
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Van Thuy Hoang Hyeon-Ju Jeon O-Joun Lee 39 0 0 21 Apr 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zhifeng Hao 59 7 0 31 Dec 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples Yuntao Shou Xiangyong Cao Deyu Meng 54 9 0 14 Oct 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs Gokul Bhusal Kevin Miller Ekaterina Merkurjev 51 1 0 14 Sep 2024
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning Kaizhe Fan Quanjun Li 42 1 0 12 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification Alan John Varghese Zhen Zhang George Karniadakis 67 2 0 29 Aug 2024
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 46 2 0 03 Oct 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification Rafael Ayllón-Gavilán David Guijo Rubio Pedro Antonio Gutiérrez A. Bagnall César Hervás-Martinez 58 0 0 16 Jun 2023
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 29 1 0 29 May 2020