Nils M. Kriege

About Nils M. Kriege

Nils M. Kriege, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Combinatorial Optimization, Graph Algorithms, Data Mining, Machine Learning, Visual Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improved Exact and Heuristic Algorithms for Maximum Weight Clique

Approximating the Graph Edit Distance with Compact Neighborhood Representations

Graph-Based Methods for Rational Drug Design

Categorical Features of entities in Recommendation Systems Using Graph Neural Networks

A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks

Non-Redundant Graph Neural Networks with Improved Expressiveness

A Higher-Order Temporal H-Index for Evolving Networks

Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond

Nils M. Kriege Information

University

Position

___

Citations(all)

2794

Citations(since 2020)

2494

Cited By

929

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

27

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Nils M. Kriege Skills & Research Interests

Combinatorial Optimization

Graph Algorithms

Data Mining

Machine Learning

Visual Analytics

Top articles of Nils M. Kriege

Title

Journal

Author(s)

Publication Date

Improved Exact and Heuristic Algorithms for Maximum Weight Clique

arXiv preprint arXiv:2302.00458

Roman Erhardt

Kathrin Hanauer

Nils Kriege

Christian Schulz

Darren Strash

2023/2/1

Approximating the Graph Edit Distance with Compact Neighborhood Representations

arXiv preprint arXiv:2312.04123

Franka Bause

Christian Permann

Nils M Kriege

2023/12/7

Graph-Based Methods for Rational Drug Design

Andre Droschinsky

Lina Humbeck

Oliver Koch

Nils M Kriege

Petra Mutzel

...

2022

Categorical Features of entities in Recommendation Systems Using Graph Neural Networks

Tinatini Buturishvili

Nils Morten Kriege

2023/10/13

A Temporal Graphlet Kernel for Classifying Dissemination in Evolving Networks

Lutz Oettershagen

Nils M Kriege

Claude Jordan

Petra Mutze

2023

Non-Redundant Graph Neural Networks with Improved Expressiveness

arXiv preprint arXiv:2310.04190

Franka Bause

Samir Moustafa

Johannes Langguth

Wilfried N Gansterer

Nils M Kriege

2023/10/6

A Higher-Order Temporal H-Index for Evolving Networks

Lutz Oettershagen

Nils M Kriege

Petra Mutzel

2023/8/6

Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond

Nature Communications

Sepideh Sadegh

James Skelton

Elisa Anastasi

Andreas Maier

Klaudia Adamowicz

...

2023/3/25

Maximally expressive GNNs for outerplanar graphs

Franka Bause

Fabian Jogl

Patrick Indri

Tamara Drucks

David Penz

...

2023/12/21

Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited

Advances in Neural Information Processing Systems

Nils M Kriege

2022/12/6

EmbAssi: embedding assignment costs for similarity search in large graph databases

Data Mining and Knowledge Discovery

Franka Bause

Erich Schubert

Nils M Kriege

2022/7/16

Temporal Walk Centrality: Ranking Nodes in Evolving Networks

Lutz Oettershagen

Petra Mutzel

Nils M Kriege

2022/4/25

The Weisfeiler-Leman Method for Machine Learning with Graphs

2022/12/31

Gradual Weisfeiler-Leman: Slow and Steady Wins the Race

Franka Bause

Nils Morten Kriege

2022/12/21

The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs

arXiv preprint arXiv:2105.05911

Christopher Morris

Matthias Fey

Nils M Kriege

2021/5/12

Weisfeiler and Leman go Machine Learning: The Story so far

arXiv preprint arXiv:2112.09992

Christopher Morris

Yaron Lipman

Haggai Maron

Bastian Rieck

Nils M Kriege

...

2021/12/18

Similarity Search and Applications: 14th International Conference, SISAP 2021, Dortmund, Germany, September 29–October 1, 2021, Proceedings

Nora Reyes

Richard Connor

Nils Kriege

Daniyal Kazempour

Ilaria Bartolini

...

2021/10/21

Metric indexing for graph similarity search

Franka Bause

David B Blumenthal

Erich Schubert

Nils M Kriege

2021/9/29

TUDataset: A collection of benchmark datasets for learning with graphs

arXiv preprint arXiv:2007.08663

Christopher Morris

Nils M Kriege

Franka Bause

Kristian Kersting

Petra Mutzel

...

2020/7/16

Deep graph matching consensus

Matthias Fey

Jan E Lenssen

Christopher Morris

Jonathan Masci

Nils M Kriege

2020

See List of Professors in Nils M. Kriege University(Universität Wien)

Co-Authors

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