Identifying Rare Cell Populations in Comparative Flow Cytometry. - Ariful Azad; Johannes Langguth; Youhan Fang; Yuan (Alan) Qi; Alex Pothen (WABI, 2010)

Heuristic initialization for bipartite matching problems. - Johannes Langguth; Fredrik Manne; Peter Sanders 001 (ACM J. Exp. Algorithmics, 2010)

Parallel algorithms for bipartite matching problems on distributed memory computers. - Johannes Langguth; Md. Mostofa Ali Patwary; Fredrik Manne (Parallel Comput., 2011)

On Optimal and Balanced Sparse Matrix Partitioning Problems. - Anaël Grandjean; Johannes Langguth; Bora Uçar (CLUSTER, 2012)

A partitioning-based divisive clustering technique for maximizing the modularity. - Ümit V. Çatalyürek; Kamer Kaya; Johannes Langguth; Bora Uçar (Graph Partitioning and Graph Clustering, 2012)

Semi-Matching Algorithms for Scheduling Parallel Tasks under Resource Constraints. - Anne Benoit; Johannes Langguth; Bora Uçar (IPDPS Workshops, 2013)

On the GPU performance of cell-centered finite volume method over unstructured tetrahedral meshes. - Johannes Langguth; Nan Wu 003; Jun Chai; Xing Cai (IA3@SC, 2013)

Push-relabel based algorithms for the maximum transversal problem. - Kamer Kaya; Johannes Langguth; Fredrik Manne; Bora Uçar (Comput. Oper. Res., 2013)

Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. - Johannes Langguth; Xing Cai (ICPADS, 2014)

On parallel push-relabel based algorithms for bipartite maximum matching. - Johannes Langguth; Ariful Azad; Mahantesh Halappanavar; Fredrik Manne (Parallel Comput., 2014)

CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. - Mohammed Sourouri; Johannes Langguth; Filippo Spiga; Scott B. Baden; Xing Cai (CSE, 2015)

Optimizing Approximate Weighted Matching on Nvidia Kepler K40. - Md. Naim; Fredrik Manne; Mahantesh Halappanavar; Antonino Tumeo; Johannes Langguth (HiPC, 2015)

Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. - Qiang Lan; Namit Gaur; Johannes Langguth; Xing Cai (ICA3PP (3), 2015)

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. - Mahantesh Halappanavar; Alex Pothen; Ariful Azad; Fredrik Manne; Johannes Langguth; Arif M. Khan (Computer, 2015)

Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes. - Johannes Langguth; Nan Wu 003; Jun Chai; Xing Cai (J. Parallel Distributed Comput., 2015)

Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes. - Johannes Langguth; Mohammed Sourouri; Glenn Terje Lines; Scott B. Baden; Xing Cai (IEEE Micro, 2015)

Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2. - Johannes Langguth; Qiang Lan; Namit Gaur; Xing Cai; Mei Wen; Chunyuan Zhang (ICPADS, 2016)

On the performance and energy efficiency of the PGAS programming model on multicore architectures. - Jérémie Lagravière; Johannes Langguth; Mohammed Sourouri; Phuong Hoai Ha; Xing Cai (HPCS, 2016)

Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures. - Mohammed Sourouri; Espen Birger Raknes; Nico Reissmann; Johannes Langguth; Daniel Hackenberg; Robert Schöne; Per Gunnar Kjeldsberg (SC, 2017)

Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform. - Johannes Langguth; Chad Jarvis; Xing Cai (ISC Workshops, 2017)

Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing. - Johannes Langguth; Qiang Lan; Namit Gaur; Xing Cai (Int. J. Parallel Program., 2017)

Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures. - Johannes Langguth; Xing Cai; Mohammed Sourouri (ICPADS, 2018)

GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations. - Neringa Altanaite; Johannes Langguth (GPGPU@PPoPP, 2018)

A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. - Ariful Azad; Aydin Buluç; Xiaoye S. Li; Xinliang Wang; Johannes Langguth (CoRR, 2018)

PGAS for graph analytics: can one sided communications break the scalability barrier? - Johannes Langguth (CF, 2019)

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia. - Johannes Langguth; Hermenegild Arevalo; Kristian Gregorius Hustad; Xing Cai (CinC, 2019)

Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling. - Chad Jarvis; Glenn Terje Lines; Johannes Langguth; Kengo Nakajima; Xing Cai (ICCS (5), 2019)

Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. - Kashif Ahmad; Konstantin Pogorelov; Mohib Ullah; Michael Riegler 001; Nicola Conci; Johannes Langguth; Ala I. Al-Fuqaha (MediaEval, 2019)

FACT: a Framework for Analysis and Capture of Twitter Graphs. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (SNAMS, 2019)

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. - Kashif Ahmad; Konstantin Pogorelov; Mohib Ullah; Michael Riegler 001; Nicola Conci; Johannes Langguth; Ala I. Al-Fuqaha (CoRR, 2019)

Performance Optimization and Modeling of Fine-Grained Irregular Communication in UPC. - Jérémie Lagravière; Johannes Langguth; Martina Prugger; Lukas Einkemmer; Phuong Hoai Ha; Xing Cai (Sci. Program., 2019)

Karp-Sipser based kernels for bipartite graph matching. - Kamer Kaya; Johannes Langguth; Ioannis Panagiotas; Bora Uçar (ALENEX, 2020)

A System for High Performance Mining on GDELT Data. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Johannes Langguth (IPDPS Workshops, 2020)

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. - Konstantin Pogorelov; Daniel Thilo Schroeder; Luk Burchard; Johannes Moe; Stefan Brenner; Petra Filkuková; Johannes Langguth (MediaEval, 2020)

Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. - Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (MediaEval, 2020)

Resource Efficient Algorithms for Message Sampling in Online Social Networks. - Luk Burchard; Daniel Thilo Schroeder; Sören Becker 001; Johannes Langguth (SNAMS, 2020)

A Scalable System for Bundling Online Social Network Mining Research. - Luk Burchard; Daniel Thilo Schroeder; Konstantin Pogorelov; Sören Becker 001; Emily Dietrich; Petra Filkuková; Johannes Langguth (SNAMS, 2020)

Load-Balanced Bottleneck Objectives in Process Mapping. - Johannes Langguth; Sebastian Schlag; Christian Schulz 003 (CoRR, 2020)

Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication. - James D. Trotter; Johannes Langguth; Xing Cai (J. Parallel Distributed Comput., 2020)

A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. - Ariful Azad; Aydin Buluç; Xiaoye S. Li; Xinliang Wang; Johannes Langguth (SIAM J. Sci. Comput., 2020)

iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. - Luk Burchard; Xing Cai; Johannes Langguth (HiPC, 2021)

Shared-memory implementation of the Karp-Sipser kernelization process. - Johannes Langguth; Ioannis Panagiotas; Bora Uçar (HiPC, 2021)

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. - Konstantin Pogorelov; Daniel Thilo Schroeder; Petra Filkuková; Stefan Brenner; Johannes Langguth (OASIS@HT, 2021)

WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. - Daniel Thilo Schroeder; Ferdinand Schaal; Petra Filkuková; Konstantin Pogorelov; Johannes Langguth (ICAART (2), 2021)

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. - Sunidhi Dhandhania; Akshay Deodhar; Konstantin Pogorelov; Swarnendu Biswas; Johannes Langguth (ICPP Workshops, 2021)

Incremental Clustering Algorithms for Massive Dynamic Graphs. - Johannes Langguth; Aigars Tumanis; Ariful Azad (ICDM (Workshops), 2021)

FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Johannes Langguth (MediaEval, 2021)

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. - Luk Burchard; Johannes Moe; Daniel Thilo Schroeder; Konstantin Pogorelov; Johannes Langguth (ISC, 2021)

A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study. - Jérémie Lagravière; Johannes Langguth; Martina Prugger; Phuong Hoai Ha; Xing Cai (CoRR, 2021)

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. - Andreas Huber; Daniel Thilo Schroeder; Konstantin Pogorelov; Carsten Griwodz; Johannes Langguth (IPDPS Workshops, 2022)

Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. - Johannes Moe; Konstantin Pogorelov; Daniel Thilo Schroeder; Johannes Langguth (IPDPS Workshops, 2022)

Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. - Asep Maulana; Konstantin Pogorelov; Daniel Thilo Schroeder; Johannes Langguth (MediaEval, 2022)

Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. - Konstantin Pogorelov; Daniel Thilo Schroeder; Stefan Brenner; Asep Maulana; Johannes Langguth (MediaEval, 2022)

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. - Kenneth Langedal; Johannes Langguth; Fredrik Manne; Daniel Thilo Schroeder (SEA, 2022)

Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs. - Johannes Langguth (CF, 2023)

Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network. - Asep Maulana; Johannes Langguth (CSoNet, 2023)

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. - Konstantin Pogorelov; James D. Trotter; Johannes Langguth (Euro-Par Workshops (1), 2023)

Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. - Luk Burchard; Max Xiaohang Zhao; Johannes Langguth; Aydin Buluç; Giulia Guidi (SC, 2023)

Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. - James D. Trotter; Sinan Ekmekçibasi; Johannes Langguth; Tugba Torun; Emre Düzakin; Aleksandar Ilic; Didem Unat (SC, 2023)

Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. - Asep Maulana; Johannes Langguth (SNAMS, 2023)

Non-Redundant Graph Neural Networks with Improved Expressiveness. - Franka Bause; Samir Moustafa; Johannes Langguth; Wilfried N. Gansterer; Nils M. Kriege (CoRR, 2023)

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. - Kaspara Skovli Gåsvær; Pedro G. Lind; Johannes Langguth; Morten Hjorth-Jensen; Michael Kreil; Daniel Thilo Schroeder (CoRR, 2023)

Open Problems in (Hyper)Graph Decomposition. - Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; Tobias Heuer; George Karypis; Kamer Kaya; et al. (CoRR, 2023)

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). - George Karypis; Christian Schulz 003; Darren Strash; Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; et al. (Dagstuhl Reports, 2023)

Social media in the Global South: A Network Dataset of the Malian Twittersphere. - Daniel Thilo Schroeder; Mirjam de Bruijn; Luca Bruls; Mulatu Alemayehu Moges; Samba Dialimpa Badji; Noémie Fritz; Modibo Galy Cisse; Johannes Langguth; Bruce Mutsvairo; Kristin Skare Orgeret (J. Data Min. Digit. Humanit., 2023)

COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. - Johannes Langguth; Petra Filkuková; Stefan Brenner; Daniel Thilo Schroeder; Konstantin Pogorelov (Int. J. Data Sci. Anal., 2023)

COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. - Johannes Langguth; Daniel Thilo Schroeder; Petra Filkuková; Stefan Brenner; Jesper Phillips; Konstantin Pogorelov (J. Comput. Soc. Sci., 2023)

Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. - James D. Trotter; Johannes Langguth; Xing Cai (Parallel Comput., 2023)

On the Two Sides of Redundancy in Graph Neural Networks. - Franka Bause; Samir Moustafa; Johannes Langguth; Wilfried N. Gansterer; Nils M. Kriege (ECML/PKDD (6), 2024)

Mapping Twitter Activity in the 2019 Ukrainian Political Landscape. - Alfred Arouna; Ioana Livadariu; Johannes Langguth (SNAMS, 2024)

iPuma: High-Performance Sequence Alignment on the Graphcore IPU. - Max Xiaohang Zhao; Luk Burchard; Daniel Thilo Schroeder; Johannes Langguth; Xing Cai (ISC, 2024)

Solution of Backtracking Problems on Tile-Centric AI Accelerators. - Jakob Gerhardt; Johannes Langguth (CF, 2025)

Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. - Rohullah Akbari; Daniel Thilo Schroeder; Petra Filkuková; Johannes Langguth (IPDPS (Workshops), 2025)