RetGK: Graph Kernels based on Return Probabilities of Random Walks

7 September 2018

Papers citing "RetGK: Graph Kernels based on Return Probabilities of Random Walks"

21 / 21 papers shown

Title
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 41 0 0 23 Apr 2025
Descriptive Kernel Convolution Network with Improved Random Walk Kernel Meng-Chieh Lee Lingxiao Zhao Leman Akoglu 31 3 0 08 Feb 2024
On Structural Expressive Power of Graph Transformers Wenhao Zhu Tianyu Wen Guojie Song Liangji Wang Bo Zheng 27 15 0 23 May 2023
Euler Characteristic Tools For Topological Data Analysis Olympio Hacquard Vadim Lebovici 33 9 0 24 Mar 2023
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 50 10 0 30 Oct 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 54 142 0 25 Feb 2022
Fast Attributed Graph Embedding via Density of States Saurabh Sawlani Lingxiao Zhao Leman Akoglu OOD 22 7 0 11 Oct 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels Qingqing Long Yilun Jin Yi Wu Guojie Song 44 37 0 07 Apr 2021
Graph Kernels: State-of-the-Art and Future Challenges Karsten Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Rieck AI4TS 31 103 0 07 Nov 2020
Neighborhood Preserving Kernels for Attributed Graphs Asif Salim S. Shiju.S. S. Sumitra 28 3 0 13 Oct 2020
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen Laurent Jacob Julien Mairal GNN 29 53 0 11 Mar 2020
An Overview of Distance and Similarity Functions for Structured Data Santiago Ontañón 18 84 0 18 Feb 2020
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs Lu Bai Lixin Cui Edwin R. Hancock 33 8 0 08 Feb 2020
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 19 6 0 06 Sep 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 23 271 0 30 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 22 96 0 27 May 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 36 120 0 27 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 19 45 0 03 Apr 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 26 407 0 28 Mar 2019
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 22 32 0 08 Nov 2018