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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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Export 22 results:
2019

Proceedings, refereed

K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Status: Published
C. Jarvis, G. T. Lines, J. Langguth, K. Nakajima and X. Cai

Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling

In International Conference on Computational Science (ICCS 2019). Springer, 2019.
Status: Published
J. Langguth, H. Arevalo and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Status: Published
D. T. Schroeder, K. Pogorelov and J. Langguth

FACT: a Framework for Analysis and Capture of Twitter Graphs

In The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019) . IEEE, 2019.
Status: Published

Talks, keynote

J. Langguth

PGAS for graph analytics: can one sided communications break the scalability barrier ?

In EFFECT workshop, Tromsø, Norway, 2019.
Status: Published

Posters

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

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

International Conference in Computing in Cardiology, Singapore, 2019.
Status: Published

Talks, invited

J. Langguth

PGAS for graph analytics: can one sided communications break the scalability barrier ?

In Computing Frontiers, Alghero, Italy, 2019.
Status: Published
J. Langguth

Approximate weight perfect matchings for pivoting in parallel sparse linear solvers

In International Congress on Industrial and Applied Mathematics (ICIAM), Valencia, Spain, 2019.
Status: Published
J. Langguth

Towards real time simulations for in silico arrhythmia risk prediction

In Annual Meeting of the Scandinavian Physiological Society, Cardiac Physiology Special Interest Group pre-meeting, Reykjavik, Iceland, 2019.
Status: Published

Talks, contributed

P. Filkukova, P. Ayton, S. Sloman and J. Langguth

When sharing is not caring: Individual differences in the evaluation of news quality

In 4th International Conference on Communication & Media Studies, Bonn, Germany, 2019.
Status: Published