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20122026
most citedA Survey on Graph Kernels

389 citations · 1.1k across the 26 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.SI2019

Temporal Graph Kernels for Classifying Dissemination Processes

Lutz Oettershagen, Nils M. Kriege, Christopher Morris +1

Many real-world graphs or networks are temporal, e.g., in a social network persons only interact at specific points in time. This information directs dissemination processes on the…

cs.LG2019★ 2 cited

Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning

Nils M. Kriege

Kernels for structured data are commonly obtained by decomposing objects into their parts and adding up the similarities between all pairs of parts measured by a base kernel. Assig…

cs.LG2019★ 389 cited

A Survey on Graph Kernels

Nils M. Kriege, Fredrik D. Johansson, Christopher Morris

Graph kernels have become an established and widely-used technique for solving classification tasks on graphs. This survey gives a comprehensive overview of techniques for kernel-b…

cs.DS2019★ 6 cited

Maximum Cut Parameterized by Crossing Number

Markus Chimani, Christine Dahn, Martina Juhnke-Kubitzke +3

Given an edge-weighted graph on nodes, the NP-hard Max-Cut problem asks for a node bipartition such that the sum of edge weights joining the different partitions is maximiz…

cs.LG2019

Computing Optimal Assignments in Linear Time for Approximate Graph Matching

Nils M. Kriege, Pierre-Louis Giscard, Franka Bause +1

Finding an optimal assignment between two sets of objects is a fundamental problem arising in many applications, including the matching of `bag-of-words' representations in natural…