Johannes Langguth

K. Pogorelov, J. D. Trotter and J. Langguth

Performance Prediction for Sparse Matrix Vector Multiplication using Structure-dependent Features

First Workshop on Tools for Data Locality, Power and Performance (TDLPP 2023)

J. Langguth, D. T. Schroeder, P. Filkukova, S. Brenner, J. Phillips and K. Pogorelov

COCO: an annotated Twitter dataset of COVID-19 conspiracy theories

Journal of Computational Social Science

L. Burchard, K. G. Hustad, J. Langguth and X. Cai

Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation

Frontiers in Physics

J. D. Trotter, J. Langguth and X. Cai

Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS

Parallel Computing

A. Maulana and J. Langguth

Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks

2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)

L. Burchard, M. X. Zhao, J. Langguth, A. Buluc and G. Guidi

Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU

SC'23 - Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

K. S. Gåsvær, P. Lind, J. Langguth, M. Hjorth-Jensen, M. Kreil and D. T. Schroeder

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions

Complex Networks

S. Brenner, D. T. Schroeder and J. Langguth

GECO: A Twitter Dataset of COVID-19 Misinformation and Conspiracy Theories Related to the Berlin Parliament and Washington Capitol Riots

Norsk IKT-konferanse for forskning og utdanning

J. D. Trotter, S. Ekmekçibaşı, J. Langguth, T. Torun, E. Düzakın, A. Ilic and D. Unat

Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs

SC '23: International Conference for High Performance Computing, Networking, Storage and Analysis

J. Langguth

Accelerating Cardiac Electrophysiology Simulations using novel AI Hardware

Waseda University, Tokyo, Japan

J. Langguth

Transitioning Scientific Computations to Novel AI Hardware: the Example of Cardiac Electrophysiology Simulations

University of Tokyo, Japan

J. Langguth

Architectures, Algorithms, and Applications for Graph Mining and Learning

Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Germany

J. Langguth

Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs

Bologna, Italy

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

J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics

D. T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov and P. G. Lind

The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena

Scientific Reports

J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

20th International Symposium on Experimental Algorithms (SEA 2022)

A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

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

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

University of Vienna, Austria

J. Langguth and K. Langedal

Efficient Minimum Weight Vertex Cover Heuristics using Graph Neural Networks

University of Vienna, Austria

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

Siam ACDA, Aussois, France

J. Langguth, K. Pogorelov, S. Brenner, P. Filkukova and D. T. Schroeder

Don't Trust Your Eyes: Image Manipulation in the Age of DeepFakes

Frontiers in Communication

P. Filkukova and J. Langguth

An alternative correct answer to the Cognitive Reflection Test

Frontiers in Psychology

P. Filkukova, P. Ayton, K. Rand and J. Langguth

What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19

Frontiers in Psychology

P. Filkukova and J. Langguth

Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime

Studia Psychologica: International Journal for Research and Theory in Psychological Sciences

J. Langguth, I. Panagiotas and B. Uçar

Shared-memory Implementation of the Karp-Sipser Kernelization Process

28th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2021)

S. Dhandhania, A. Deodhar, K. Pogorelov, S. Biswas and J. Langguth

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection

50th International Conference on Parallel Processing Workshop

L. Burchard, X. Cai and J. Langguth

iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search

28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC)

J. Langguth, A. Tumanis and A. Azad

Incremental Clustering Algorithms for Massive Dynamic Graphs

International Conference on Data Mining Workshops (ICDMW)

K. Pogorelov, D. T. Schroeder, P. Filkukova, S. Brenner and J. Langguth

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets

Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS '21)

L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs

High Performance Computing. ISC High Performance 2021

D. T. Schroeder, F. Schaal, P. Filkukova, K. Pogorelov and J. Langguth

WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets

Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021)

J. D. Trotter, J. Langguth and X. Cai

Automated Code Generation for GPU-Based Finite Element Computations in FEniCS

D. T. Schroeder

Explaining News Spreading Phenomena in Social Networks

Händlerlogo BI Norwegian Business School

D. T. Schroeder and J. Langguth

Spreading Online Misinformation

Data-SKUP 2021

J. Langguth, I. Panagiotas and B. Uçar

Shared-Memory Implementation of the Karp- Sipser Kernelization Process

SIAM ACDA, Richland (virtual)

J. Langguth, P. Filkukova, D. T. Schroeder and K. Pogorelov

Will technical means help in preventing digital wildfires?

6th World Conference on Media and Mass Communication, Cagliari, Italy

P. Filkukova, P. Ayton, K. Rand-Hendriksen, A. Halberg, J. Lagravière and J. Langguth

Truth is in the eye of the beholder: Individual differences in the evaluation of fake and real news

Applied Cognitive Psychology

D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

MediaEval 2020

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

Media Eval Challange 2020

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

Resource Efficient Algorithms for Message Sampling in Online Social Networks

The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020)

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

2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)

D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

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

Complex Networks

K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

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

J. Langguth, N. Gaur, H. Arevalo, C. Jarvis, N. Altanaite, Q. Lan and X. Cai

Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology

J. Langguth, D. T. Schroeder, K. Pogorelov and P. Filkukova

Graph Structure Based Monitoring of Digital Wildfires

J. Langguth

Fake News, Networks, and Natural Language Processing Tools

Oslo (virtual)

J. Langguth, H. Arevalo and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

Computing in Cardiology