Generalized Shortest Path Kernel on Graphs (original) (raw)

RetGK: Graph Kernels based on Return Probabilities of Random Walks

Arye Nehorai

arXiv (Cornell University), 2018

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Kernels on Graphs as Proximity Measures

Pavel Chebotarev

Lecture Notes in Computer Science, 2017

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On Graph Kernels: Hardness Results and Efficient Alternatives

Peter Flach

2003

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CPM : A Graph Pattern Matching Kernel with Diffusion for Accurate Graph Classification

Gerald Lushington

2008

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Rethinking Kernel Methods for Node Representation Learning on Graphs

Dimitris Metaxas

2019

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Graph Kernels from the Jensen-Shannon Divergence

Lu Bai

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GPM: A Graph Pattern Matching Kernel with Diffusion for Accurate Graph Classification

Gerald Lushington

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The All-Paths and Cycles Graph Kernel

Pierre-Louis Giscard

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Empirical comparison of graph classification algorithms

Diane Cook

2009 IEEE Symposium on Computational Intelligence and Data Mining, 2009

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Global graph kernels using geometric embeddings

Devdatt Dubhashi

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Faster computation of the direct product kernel for graph classification

Diane Cook

2009 IEEE Symposium on Computational Intelligence and Data Mining, 2009

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Edge distance graph kernel and its application to small molecule classification

Mehmet Tan

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES

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Effective graph classification based on topological and label attributes

Murat Semerci

Statistical Analysis and …, 2012

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GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics

nana crosby

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2010

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GraKeL: A Graph Kernel Library in Python

Stratis Limnios

J. Mach. Learn. Res., 2020

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Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

Saurabh Verma

2017

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An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification

Alain Pirotte

Neural Networks, 2012

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Alternative similarity functions for graph kernels

Jérôme Kunegis

… Recognition, 2008. ICPR …, 2008

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On Valid Optimal Assignment Kernels and Applications to Graph Classification

Nils Kriege, Pierre-Louis Giscard

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Graph Classification using Machine Learning Algorithms

Monica Seenappa

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A Simple Baseline Algorithm for Graph Classification

Edouard Pineau

ArXiv, 2018

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Graph Classification via Topological and Label Attributes

Murat Semerci

2011

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Graph Kernel Neural Networks

Andrea TORSELLO

arXiv (Cornell University), 2021

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Graph Classification via Neural Networks

Erlend Løken

2016

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Latent Feature Kernels for Link Prediction on Sparse Graphs

Canh Nguyen

IEEE Transactions on Neural Networks and Learning Systems, 2012

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Propagation Kernels for Partially Labeled Graphs 击

Plinio Moreno

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Propagation Kernels for Partially Labeled Graphs

Plinio Moreno

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An Experimental Investigation of Graph Kernels on Collaborative Recommendation and Semisupervised Classification

Alain Pirotte

2009

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Commute-time convolution kernels for graph clustering

Edwin Hancock

2010

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Machine Learning Methods with Graph-Level Features and Application Use Cases

IJMRAP Editor

IJMRAP, 2022

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Classification in Graphs using Discriminative Random Walks

Kevin Francoisse

2008

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Two New Graph Kernels and Applications to Chemoinformatics

Luc Brun

Lecture Notes in Computer Science, 2011

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Similarities on graphs: Kernels versus proximity measures

Pavel Chebotarev

European Journal of Combinatorics

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