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K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Proceedings, refereed
2022
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J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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H. Straume, F. Asche, A. Oglend, E. B. Abrahamsen, A. M. Birkenbach, J. Langguth, G. Lanquepin and K. H. Roll

Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis

Aquaculture 561 (2022): 738678.
Journal Article
2022
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2020

Proceedings, refereed

L. Burchard, D. T. Schroeder, S. Becker and J. Langguth

Resource Efficient Algorithms for Message Sampling in Online Social Networks

In The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020). IEEE, 2020.
Status: Published
L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth

A Scalable System for Bundling Online Social Network Mining Research

In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020.
Status: Published
K. Kaya, J. Langguth, I. Panagiotas and B. Uçar

Karp-Sipser based Kernels for Bipartite Graph Matching

In Algorithm Engineering and Experiment (ALENEX). Society for Industrial and Applied Mathematics, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020

In Media Eval Challange 2020. CEUR, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2020.
Status: Published
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

A Framework for Interaction-based Propagation Analysis in Online Social Networks

In Complex Networks. Springer, 2020.
Status: Accepted
D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

In MediaEval 2020. CEUR, 2020.
Status: Published

Posters

K. G. Hustad, X. Cai, J. Langguth and H. Arevalo

Efficient simulations of patient-specific electrical heart activity on the DGX-2

GPU Technology Conference (GTC) 2020, Silicon Valley, USA: Nvidia, 2020.
Status: Published
J. Langguth, N. Gaur, H. Arevalo, C. Jarvis, N. Altanaite, Q. Lan and X. Cai

Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology

GPU Technology Conference (GTC), Silicon Valley, San Jose, USA, 2020.
Status: Published
J. Langguth, D. T. Schroeder, K. Pogorelov and P. Filkukova

Graph Structure Based Monitoring of Digital Wildfires

6th International Conference on Computational Social Science, Boston, MA, USA, 2020.
Status: Published