Johannes Langguth
Stilling
Førsteamanuensis
Tilhørighet
Publikasjoner
Vitenskapelig artikkel
- Cheng Huang; Johannes Langguth; Xing Cai et al. (2026). Geld: Load-balanced D-Core Decomposition for Consumer GPUs. (ekstern lenke)
- Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2026). The 5G COVID-19 Digital Wildfire: An evolving network of Twitter contacts to explore phase transition metaphors in viral misinformation. (ekstern lenke)
- Zeyu Xue; Mei Wen; Jianchao Yang et al. (2025). SSpMM: Efficiently Scalable SpMM Kernels Across Multiple Generations of Tensor Cores. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). Wico text: a labeled dataset of conspiracy theory and 5g-corona misinformation tweets. (ekstern lenke)
- Bruce Mutsvairo; Kristin Skare Orgeret; Mirjam de Bruijn et al. (2025). The Messenger (not the Medium) Is the Message? Uncovering Journalists’ Perceptions of Digital Disinformation in Conflict Countries. (ekstern lenke)
- Johannes Langguth; Petra Filkukova; Stefan Brenner et al. (2022). COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. (ekstern lenke)
- Daniel Thilo Schroeder; Johannes Langguth; Luk Bjarne Burchard et al. (2022). The connectivity network underlying the German’s Twittersphere: a testbed for investigating information spreading phenomena. (ekstern lenke)
- Daniel Thilo Schroeder; Mirjam de Bruijn; Luca Bruls et al. (2023). Social media in the Global South: A Network Dataset of the Malian Twittersphere. (ekstern lenke)
- Stefan Brenner; Daniel Thilo Schroeder; Johannes Langguth (2023). GECO: A Twitter Dataset of COVID-19 Misinformation and Conspiracy Theories Related to the Berlin Parliament and Washington Capitol Riots. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2021). FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. (ekstern lenke)
- Kenneth Langedal; Johannes Langguth; Fredrik Manne et al. (2022). Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. (ekstern lenke)
- Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. (ekstern lenke)
- Johannes Langguth; Xing Cai (2015). Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Luk Bjarne Burchard et al. (2020). FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. (ekstern lenke)
- Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2019). Fact: a framework for analysis and capture of twitter graphs. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2020). A System for High Performance Mining on GDELT Data. (ekstern lenke)
- Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (2020). Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation. (ekstern lenke)
- James David Trotter; Johannes Langguth; Xing Cai (2023). Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. (ekstern lenke)
- Hans-Martin Straume; Frank Asche; Atle Oglend et al. (2022). Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis. (ekstern lenke)
- Petra Filkukova; Peter Ayton; Johannes Langguth (2021). What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19. (ekstern lenke)
- Asep Maulana; Konstantin Pogorelov; Daniel Thilo Schroeder et al. (2022). Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. (ekstern lenke)
- Petra Filkukova; Johannes Langguth (2021). Blinded by emotions: The association between emotional reactivity and trust in fictitious news stories on crime. (ekstern lenke)
- Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets.. (ekstern lenke)
- Johannes Langguth; Daniel Thilo Schroeder; Petra Filkukova et al. (2023). COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. (ekstern lenke)
- Kaspara Skovli Gåsvær; Pedro Lind; Johannes Langguth et al. (2023). Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. (ekstern lenke)
- Luk Bjarne Burchard; Kristian Gregorius Hustad; Johannes Langguth et al. (2023). Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner et al. (2022). Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. (ekstern lenke)
- Luk Bjarne Burchard; Johannes Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (ekstern lenke)
Antologi
- Franka Bause; Johannes Langguth (2024). On the two sides of redundancy in graph neural networks. (ekstern lenke)
- Alfred Arouna; Ioana Livadariu; Johannes Langguth (2024). Mapping Twitter Activity in the 2019 Ukrainian Political Landscape. (ekstern lenke)
- Asep Maulana; Johannes Langguth (2023). Leveraging GNNs and node entropy for anomaly detection: Revealing misinformation spreader on twitter network. (ekstern lenke)
- Luk Bjarne Burchard; Daniel Thilo Schroeder; Soeren Becker et al. (2020). Resource Efficient Algorithms for Message Sampling in Online Social Networks. (ekstern lenke)
Konferanseforedrag
- George Karypis; Christian Schulz; Michael Fellows et al. (2024). Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). (ekstern lenke)
- Alfred Arouna; Ioana Livadariu; Johannes Langguth (2024). Mapping Twitter Activity in the 2019 Ukrainian Political Landscape. (ekstern lenke)
- Asep Maulana; Johannes Langguth (2023). Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. (ekstern lenke)
- Sunidhi Dhandhania; Konstantin Pogorelov; Johannes Langguth (2021). Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. (ekstern lenke)
- Johannes Langguth; Ioannis Panagiotas (2021). Shared-memory Implementation of the Karp-Sipser Kernelization Process. (ekstern lenke)
- Daniel Schroeder; Ferdinand Schaal; Petra Filkukova et al. (2021). WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. (ekstern lenke)
- Luk Burchard; Daniel Schroeder; Konstantin Pogorelov et al. (2020). A Scalable System for Bundling Online Social Network Mining Research. (ekstern lenke)
- Kamer Kaya; Johannes Langguth; Guy Blelloch (2020). Karp-Sipser based Kernels for Bipartite Graph Matching. (ekstern lenke)
- Petra Filkukova; Johannes Langguth (2021). How adolescents and senior citizens evaluate fake news. (ekstern lenke)
- Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Sociodemographic attributes, media consumption and susceptibility to fake news. (ekstern lenke)
- Petra Filkukova; Peter Ayton; Johannes Langguth (2021). Motivated reasoning in the evaluation of news quality. (ekstern lenke)
- Johannes Langguth; Petra Filkukova; Daniel Thilo Schroeder et al. (2021). Will technical means help in preventing digital wildfires?. (ekstern lenke)
- Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (ekstern lenke)
Forelesning
- Johannes Langguth (2023). Accelerating Cardiac Electrophysiology Simulations using novel AI Hardware. (ekstern lenke)
- Johannes Langguth (2023). Transitioning Scientific Computations to Novel AI Hardware: the Example of Cardiac Electrophysiology Simulations. (ekstern lenke)
- Johannes Langguth (2023). Architectures, Algorithms, and Applications for Graph Mining and Learning. (ekstern lenke)
- Johannes Langguth (2023). Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs. (ekstern lenke)
- Johannes Langguth; Luk Burchard (2022). ML Accelerator Hardware: A Model for Parallel Sparse Computations?. (ekstern lenke)
- Johannes Langguth; Luk Burchard (2022). ML Accelerator Hardware: A Model for Parallel Sparse Computations?. (ekstern lenke)
- Johannes Langguth; Ioannis Panagiotas (2021). Shared-Memory Implementation of the Karp- Sipser Kernelization Process. (ekstern lenke)
- Daniel Schroeder; Johannes Langguth (2021). Spreading Online Misinformation. (ekstern lenke)
- Daniel Schroeder; Johannes Langguth (2021). Explaining News Spreading Phenomena in Social Networks. (ekstern lenke)
- Johannes Langguth (2020). Fake News, Networks, and Natural Language Processing Tools. (ekstern lenke)
- Johannes Langguth (2019). Towards real time simulations for in silico arrhythmia risk prediction. (ekstern lenke)
- Johannes Langguth (2019). Approximate weight perfect matchings for pivoting in parallel sparse linear solvers. (ekstern lenke)
- Johannes Langguth; Petra Filkukova (2019). Don't Trust Your Eyes: Manipulation of Visual Media in the Age of Deepfakes. (ekstern lenke)
- Petra Filkukova; Peter Ayton; Johannes Langguth (2019). When sharing is not caring: Individual differences in the evaluation of news quality. (ekstern lenke)
- Johannes Langguth (2019). PGAS for graph analytics: can one sided communications break the scalability barrier ?. (ekstern lenke)
- Johannes Langguth (2019). PGAS for graph analytics: can one sided communications break the scalability barrier ?. (ekstern lenke)
- Johannes Langguth; Ariful Azad (2018). A distributed - memory parallel approximation of maximum weight perfect bipartite matching. (ekstern lenke)
- Johannes Langguth; Ariful Azad (2018). A distributed - memory parallel approximation of maximum weight perfect bipartite matching. (ekstern lenke)
- Johannes Langguth; Xing Cai; Jun Chai (2017). Heterogeneous Manycore Simulations in Cardiac Electrophysiology. (ekstern lenke)
- Johannes Langguth (2016). Hierarchical partitioning of unstructured meshes in cardiac electrophysiology. (ekstern lenke)
- Johannes Langguth (2016). Heterogeneous HPC solutions in cardiac electrophysiology. (ekstern lenke)
- Berntzen Samuel; Karim Tamssaouet; Johannes Langguth (2021). Connected k-Dominating Sets for Locating fast-charging stations. (ekstern lenke)
Konferanseposter
- James Trotter; Johannes Langguth; Xing Cai (2021). Automated Code Generation for GPU-Based Finite Element Computations in FEniCS. (ekstern lenke)
- Daniel Schroeder; Pedro Lind; Konstantin Pogorelov et al. (2020). A Framework for Interaction-based Propagation Analysis in Online Social Networks. (ekstern lenke)
- Johannes Langguth; Namit Gaur; Hermenegild Arevalo et al. (2020). Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology. (ekstern lenke)
- Johannes Langguth; Daniel Schroeder; Konstantin Pogorelov et al. (2020). Graph Structure Based Monitoring of Digital Wildfires. (ekstern lenke)
Vitenskapelig bokkapittel
- Jakob Gerhardt; Johannes Langguth (2025). Solution of Backtracking Problems on Tile-Centric AI Accelerators. (ekstern lenke)
- Rohullah Akbari; Daniel Thilo Schroeder; Petra Filkukova et al. (2025). Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. (ekstern lenke)
- James David Trotter; Sinan Ekmekçibaşı; Doğan Sağbili et al. (2025). CPU- and GPU-initiated Communication Strategies for Conjugate Gradient Methods on Large GPU Clusters. (ekstern lenke)
- Johannes Langguth; James David Trotter; Xing Cai (2025). Modelling Load Imbalance In Shared Memory Multicore Systems. (ekstern lenke)
- Jeremie Alexandre Emilien Lagraviere; Johannes Langguth; Mohammed Sourouri et al. (2016). On the performance and energy efficiency of the PGAS programming model on multicore architectures. (ekstern lenke)
- Johannes Langguth; Aigar Tumanis; Ariful Azad (2022). Incremental Clustering Algorithms for Massive Dynamic Graphs. (ekstern lenke)
- Max Zhao; Luk Bjarne Burchard; Daniel Thilo Schroeder et al. (2024). iPuma: High-Performance Sequence Alignment on the Graphcore IPU. (ekstern lenke)
- Qiang Lan; Namit Gaur; Johannes Langguth et al. (2015). Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. (ekstern lenke)
- Mohammed Sourouri; Johannes Langguth; Filippo Spiga et al. (2015). CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. (ekstern lenke)
- Daniel Thilo Schroeder; Pedro Lind; Konstantin Pogorelov et al. (2021). A Framework for Interaction-based Propagation Analysis in Online Social Networks. (ekstern lenke)
- Luk Burchard; Johannes Sellæg Moe; Daniel Thilo Schroeder et al. (2021). iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. (ekstern lenke)
- Luk Burchard; Xing Cai; Johannes Langguth (2021). iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. (ekstern lenke)
- Andreas Huber; Daniel Thilo Schröder; Konstantin Pogorelov et al. (2022). A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. (ekstern lenke)
- Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schröder et al. (2022). Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. (ekstern lenke)
- Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann et al. (2017). Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures. (ekstern lenke)
- Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkukova et al. (2021). WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets.. (ekstern lenke)
- Md. Naim; Fredrik Manne; Mahantesh Halappanavar et al. (2015). Optimizing Approximate Weighted Matching on Nvidia Kepler K40. (ekstern lenke)
Masteroppgave
- Andreas Huber; Daniel Thilo Schroeder; Johannes Langguth et al. (2021). Observing Reddit's Interaction Network - A stream-based approach for large scale Network Analysis on Reddit. (ekstern lenke)
- Emil August Torp Nilsen; Carsten Griwodz; Daniel Thilo Schroeder et al. (2020). Visualization of Large Graphs. (ekstern lenke)
- Kaspara Skovli Gåsvær; Morten Hjorth-Jensen; Johannes Langguth et al. (2022). Towards predicting Harmful Conspiracies through Phase Transitions in Complex Interaction Networks. (ekstern lenke)