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The Multiscale Laplacian Graph Kernel

20 March 2016

Papers citing "The Multiscale Laplacian Graph Kernel"

50 / 53 papers shown

Title
EMP: Effective Multidimensional Persistence for Graph Representation Learning I. Segovia-Dominguez Yuzhou Chen Cüneyt Gürcan Akçora Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel Baris Coskunuzer 82 4 0 24 Jan 2024
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 62 1 0 21 Oct 2022
A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks Lutz Oettershagen Nils M. Kriege Claudeth Jordan Petra Mutzel 18 1 0 12 Sep 2022
GraphHD: Efficient graph classification using hyperdimensional computing Igor O. Nunes Mike Heddes T. Givargis Alexandru Nicolau A. Veidenbaum 67 54 0 16 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 193 22 0 07 May 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 132 40 0 25 Mar 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 110 21 0 24 Jan 2022
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten Borgwardt GNN 127 118 0 18 Dec 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 67 201 0 28 Oct 2021
Graphon based Clustering and Testing of Networks: Algorithms and Theory Mahalakshmi Sabanayagam L. C. Vankadara Debarghya Ghoshdastidar 89 5 0 06 Oct 2021
Computing Graph Descriptors on Edge Streams Zohair Raza Hassan Sarwan Ali Imdadullah Khan Mudassir Shabbir W. Abbas 63 7 0 02 Sep 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 92 88 0 17 Jun 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 122 18 0 24 Mar 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 81 27 0 14 Jan 2021
Graph Autoencoders with Deconvolutional Networks Jia Li Tomas Yu Da-Cheng Juan Arjun Gopalan Hong Cheng Andrew Tomkins GNN 57 8 0 22 Dec 2020
Graph Kernels: State-of-the-Art and Future Challenges Karsten Borgwardt Elisabetta Ghisu Felipe Llinares-López Leslie O’Bray Bastian Rieck AI4TS 99 107 0 07 Nov 2020
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 122 34 0 23 Oct 2020
Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling M. Saglam I. Rekik 33 2 0 24 Sep 2020
Learning Graph Edit Distance by Graph Neural Networks Pau Riba Andreas Fischer Josep Lladós Alicia Fornés GNN 63 23 0 17 Aug 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 275 830 0 16 Jul 2020
Distributed Training of Graph Convolutional Networks Simone Scardapane Indro Spinelli P. Lorenzo GNN BDL 96 26 0 13 Jul 2020
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 101 89 0 16 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 86 22 0 13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 254 1,310 0 10 Jun 2020
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis Yuping Li Jiyong Jang Xinming Ou 16 5 0 14 Apr 2020
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 104 26 0 09 Mar 2020
Tree++: Truncated Tree Based Graph Kernels Wei Ye Zhen Wang Rachel Redberg Ambuj K. Singh 33 17 0 23 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert Jiawei Zhang 20 6 0 09 Feb 2020
Distance Metric Learning for Graph Structured Data Tomoki Yoshida Ichiro Takeuchi Masayuki Karasuyama 115 12 0 03 Feb 2020
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 90 31 0 27 Dec 2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding Lingfei Wu Ian En-Hsu Yen Zhen Zhang Kun Xu Liang Zhao Xi Peng Yinglong Xia Charu C. Aggarwal 92 31 0 25 Nov 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning Saurabh Verma Zhi-Li Zhang FedML GNN SSL 63 9 0 22 Sep 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 177 868 0 31 Jul 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures Ruo-Chun Tzeng Shan-Hung Wu GNN 59 13 0 23 Jun 2019
Solving graph compression via optimal transport Vikas Garg Tommi Jaakkola OT 67 16 0 29 May 2019
Embeddings and Representation Learning for Structured Data Benjamin Paassen Claudio Gallicchio Alessio Micheli A. Sperduti 46 7 0 15 May 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 145 125 0 27 Apr 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 155 423 0 28 Mar 2019
Practical methods for graph two-sample testing Debarghya Ghoshdastidar U. V. Luxburg 45 40 0 30 Nov 2018
SGR: Self-Supervised Spectral Graph Representation Learning Anton Tsitsulin Davide Mottin Panagiotis Karras A. Bronstein Emmanuel Müller SSL 68 6 0 15 Nov 2018
Graph Convolutional Neural Networks via Motif-based Attention Hao Peng Jianxin Li Qiran Gong Lihong Wang Yuanxing Ning Philip S. Yu GNN 56 12 0 11 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 176 33 0 08 Nov 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 205 1,650 0 04 Oct 2018
Message Passing Graph Kernels Giannis Nikolentzos Michalis Vazirgiannis 57 7 0 07 Aug 2018
Graph Capsule Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN 98 129 0 21 May 2018
Graph Kernels based on High Order Graphlet Parsing and Hashing Anjan Dutta H. Sahbi 25 0 0 28 Feb 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 217 36 0 13 Feb 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 92 168 0 07 Jan 2018
Kernel Graph Convolutional Neural Networks Giannis Nikolentzos Polykarpos Meladianos A. Tixier Konstantinos Skianis Michalis Vazirgiannis GNN 91 60 0 29 Oct 2017
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier U. V. Luxburg 87 57 0 04 Jul 2017