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A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs

A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs

International Conference on Machine Learning (ICML), 2020
8 February 2020
Lu Bai
Lixin Cui
Edwin R. Hancock
ArXiv (abs)PDFHTML

Papers citing "A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs"

4 / 4 papers shown
Deep Hierarchical Graph Alignment Kernels
Deep Hierarchical Graph Alignment KernelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Shuhao Tang
Hao Tian
Xiaofeng Cao
Wei Ye
250
3
0
09 May 2024
AKBR: Learning Adaptive Kernel-based Representations for Graph
  Classification
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
Feifei Qian
Lixin Cui
Yue Wang
Hangyuan Du
Lu Bai
Edwin R. Hancock
238
0
0
24 Mar 2024
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural EncodingNeural Information Processing Systems (NeurIPS), 2023
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
446
18
0
22 Aug 2023
Multi-scale Wasserstein Shortest-path Graph Kernels for Graph
  Classification
Multi-scale Wasserstein Shortest-path Graph Kernels for Graph ClassificationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Wei Ye
Hao Tian
Qi Chen
526
7
0
02 Jun 2022
1
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