activity
20162022
most citedTUDataset: A collection of benchmark datasets for learning with graphs

302 citations · 303 across the 3 of their papers we have counts for

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11 papers · 1 filter

cs.DS2020

Spatio-Temporal Top-k Similarity Search for Trajectories in Graphs

Lutz Oettershagen, Anne Driemel, Petra Mutzel

We study the problem of finding the most similar trajectories to a given query trajectory. Our work is inspired by the work of Grossi et al. [6] that considers trajectories as…

cs.DS2019

Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

Christopher Morris, Gaurav Rattan, Petra Mutzel

Graph kernels based on the -dimensional Weisfeiler-Leman algorithm and corresponding neural architectures recently emerged as powerful tools for (supervised) learning with graph…

cs.DS2019

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.DS2018

Fixed-Parameter Algorithms for the Weighted Max-Cut Problem on Embedded 1-Planar Graphs

Christine Dahn, Nils M. Kriege, Petra Mutzel +1

We propose two fixed-parameter tractable algorithms for the weighted Max-Cut problem on embedded 1-planar graphs parameterized by the crossing number of the given embedding. A…

cs.DS2018

A Flow Formulation for Horizontal Coordinate Assignment with Prescribed Width

Michael Jünger, Petra Mutzel, Christiane Spisla

We consider the coordinate assignment phase of the well known Sugiyama framework for drawing directed graphs in a hierarchical style. The extensive literature in this area has give…

cs.DS2018

Largest Weight Common Subtree Embeddings with Distance Penalties

Andre Droschinsky, Nils M. Kriege, Petra Mutzel

The largest common embeddable subtree problem asks for the largest possible tree embeddable into two input trees and generalizes the classical maximum common subtree problem. Sever…