Johannes Langguth

M. de Bruijn, B. Mutsvairo, L. Bruls, M. G. Cissé, J. Langguth, K. S. Orgeret, S. D. Badji, M. A. Moges and D. T. Schroeder

“Aren’t we all journalists?” Citizen journalism, disinformation and the weaponization of social media in conflict torn Mali

Journalism

A. Arouna, I. Livadariu and J. Langguth

Mapping Twitter Activity in the 2019 Ukrainian Political Landscape

11th IEEE International Conference on Social network analysis, Management & Security

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)

G. Karypis, C. Schulz, D. Strash, D. Ajwani, R. H. Bisseling, K. Casel, Ü. Çatalyürek, C. Chevalier, F. Chudigiewitsch, M. F. Faraj, M. Fellows, L. Gottesbüren, T. Heuer, K. Kaya, J. Lacki, J. Langguth, X. Li, R. Mayer, J. Meintrup, Y. Mizutani, F. Pellegrini, F. Petrini, F. Rosamond, I. Safro, S. Schlag, R. Sharma, B. D. Sullivan, B. Uçar and A. Yzelman

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331)

Dagstuhl Seminar 23331

F. Bause, S. Moustafa, J. Langguth, W. N. Gansterer and N. M. Kriege

On the two sides of redundancy in graph neural networks

Joint European Conference on Machine Learning and Knowledge Discovery in Databases

M. X. Zhao, L. Burchard, D. T. Schroeder, J. Langguth and X. Cai

iPuma: High-Performance Sequence Alignment on the Graphcore IPU

ISC High Performance 2024 Research Paper Proceedings (39th International Conference)

A. Arouna, I. Livadariu and J. Langguth

Mapping Twitter Activity in the 2019 Ukrainian Political Landscape

2024 11th International Conference on Social Networks Analysis, Management and Security (SNAMS)

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

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

A. Maulana and J. Langguth

Leveraging GNNs and node entropy for anomaly detection: Revealing misinformation spreader on twitter network

International Conference on Computational Data and Social Networks

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

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)

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

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)

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

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

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

Complex Networks

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

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

Fake News, Networks, and Natural Language Processing Tools

Oslo (virtual)