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Johannes Langguth
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2020 – today
- 2024
- [c47]Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils M. Kriege:
On the Two Sides of Redundancy in Graph Neural Networks. ECML/PKDD (6) 2024: 371-388 - [c46]Max Xiaohang Zhao, Luk Burchard, Daniel Thilo Schroeder, Johannes Langguth, Xing Cai:
iPuma: High-Performance Sequence Alignment on the Graphcore IPU. ISC 2024: 1-11 - 2023
- [j15]Johannes Langguth, Petra Filkuková
, Stefan Brenner
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. Int. J. Data Sci. Anal. 15(3): 329-346 (2023) - [j14]Daniel Thilo Schroeder
Social media in the Global South: A Network Dataset of the Malian Twittersphere. J. Data Min. Digit. Humanit. 2023 (2023) - [j13]Johannes Langguth, Daniel Thilo Schroeder
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. J. Comput. Soc. Sci. 6(2): 443-484 (2023) - [j12]James D. Trotter
Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. Parallel Comput. 118: 103051 (2023) - [c45]Johannes Langguth
Parallel Incremental Clustering Algorithms for Massive Dynamic Graphs. CF 2023: 264 - [c44]Asep Maulana, Johannes Langguth:
Leveraging GNNs and Node Entropy for Anomaly Detection: Revealing Misinformation Spreader on Twitter Network. CSoNet 2023: 325-336 - [c43]Konstantin Pogorelov
Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. Euro-Par Workshops (1) 2023: 135-146 - [c42]James D. Trotter
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. SC 2023: 31:1-31:13 - [c41]Luk Burchard
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. SC 2023: 33:1-33:16 - [c40]Asep Maulana, Johannes Langguth:
Using GNNs for Misinformation Spreader Detection via Assortativity-Aware Node Label Classification in Twitter Networks. SNAMS 2023: 1-8 - [e1]Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents] - [i12]Luk Burchard, Max Xiaohang Zhao, Johannes Langguth, Aydin Buluç
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. CoRR abs/2304.08662 (2023) - [i11]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:
Social media in the Global South: A Network Dataset of the Malian Twittersphere. CoRR abs/2304.12668 (2023) - [i10]Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils M. Kriege:
Non-Redundant Graph Neural Networks with Improved Expressiveness. CoRR abs/2310.04190 (2023) - [i9]Kaspara Skovli Gåsvær, Pedro G. Lind, Johannes Langguth, Morten Hjorth-Jensen, Michael Kreil, Daniel Thilo Schroeder:
Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions. CoRR abs/2310.05542 (2023) - [i8]Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch
Open Problems in (Hyper)Graph Decomposition. CoRR abs/2310.11812 (2023) - [i7]George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman:
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13(8): 1-45 (2023) - 2022
- [c39]Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. IPDPS Workshops 2022: 45-54 - [c38]Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth:
A Streaming System for Large-scale Temporal Graph Mining of Reddit Data. IPDPS Workshops 2022: 1153-1162 - [c37]Asep Maulana, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Graph Neural Network for Fake News Detection and Classification of Unlabelled Nodes at MediaEval 2022. MediaEval 2022 - [c36]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth:
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. MediaEval 2022 - [c35]Kenneth Langedal
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. SEA 2022: 12:1-12:17 - 2021
- [c34]Johannes Langguth, Ioannis Panagiotas, Bora Uçar:
Shared-memory implementation of the Karp-Sipser kernelization process. HiPC 2021: 71-80 - [c33]Luk Burchard
iPUG for Multiple Graphcore IPUs: Optimizing Performance and Scalability of Parallel Breadth-First Search. HiPC 2021: 162-171 - [c32]Konstantin Pogorelov, Daniel Thilo Schroeder
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. OASIS@HT 2021: 21-25 - [c31]Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. ICAART (2) 2021: 257-266 - [c30]Sunidhi Dhandhania, Akshay Deodhar, Konstantin Pogorelov, Swarnendu Biswas, Johannes Langguth:
Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. ICPP Workshops 2021: 6:1-6:10 - [c29]Johannes Langguth, Aigars Tumanis, Ariful Azad:
Incremental Clustering Algorithms for Massive Dynamic Graphs. ICDM (Workshops) 2021: 360-369 - [c28]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth:
FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. MediaEval 2021 - [c27]Luk Burchard
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. ISC 2021: 291-309 - [i6]Jérémie Lagravière, Johannes Langguth, Martina Prugger, Phuong Hoai Ha, Xing Cai:
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study. CoRR abs/2102.03614 (2021) - 2020
- [j11]James D. Trotter
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication. J. Parallel Distributed Comput. 144: 189-205 (2020) - [j10]Ariful Azad, Aydin Buluç
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. SIAM J. Sci. Comput. 42(4): C143-C168 (2020) - [c26]Kamer Kaya, Johannes Langguth, Ioannis Panagiotas, Bora Uçar:
Karp-Sipser based kernels for bipartite graph matching. ALENEX 2020: 134-145 - [c25]Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková
A System for High Performance Mining on GDELT Data. IPDPS Workshops 2020: 1101-1111 - [c24]Konstantin Pogorelov, Daniel Thilo Schroeder, Luk Burchard, Johannes Moe, Stefan Brenner, Petra Filkuková, Johannes Langguth:
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020. MediaEval 2020 - [c23]Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. MediaEval 2020 - [c22]Luk Burchard, Daniel Thilo Schroeder, Sören Becker, Johannes Langguth:
Resource Efficient Algorithms for Message Sampling in Online Social Networks. SNAMS 2020: 1-8 - [c21]Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková
A Scalable System for Bundling Online Social Network Mining Research. SNAMS 2020: 1-6 - [i5]Johannes Langguth, Sebastian Schlag, Christian Schulz:
Load-Balanced Bottleneck Objectives in Process Mapping. CoRR abs/2001.09645 (2020)
2010 – 2019
- 2019
- [j9]Jérémie Lagravière, Johannes Langguth
Performance Optimization and Modeling of Fine-Grained Irregular Communication in UPC. Sci. Program. 2019: 6825728:1-6825728:20 (2019) - [c20]Johannes Langguth:
PGAS for graph analytics: can one sided communications break the scalability barrier? CF 2019: 341 - [c19]Johannes Langguth, Hermenegild Arevalo, Kristian Gregorius Hustad, Xing Cai:
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia. CinC 2019: 1-4 - [c18]Chad Jarvis, Glenn Terje Lines
Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling. ICCS (5) 2019: 681-687 - [c17]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. MediaEval 2019 - [c16]Daniel Thilo Schroeder
FACT: a Framework for Analysis and Capture of Twitter Graphs. SNAMS 2019: 134-141 - [i4]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. CoRR abs/1910.02932 (2019) - [i3]Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri, Phuong Hoai Ha, Xing Cai:
On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures. CoRR abs/1912.12700 (2019) - [i2]Jérémie Lagravière, Johannes Langguth, Martina Prugger, Lukas Einkemmer, Phuong Hoai Ha, Xing Cai:
Performance optimization and modeling of fine-grained irregular communication in UPC. CoRR abs/1912.12701 (2019) - 2018
- [c15]Johannes Langguth, Xing Cai, Mohammed Sourouri:
Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures. ICPADS 2018: 497-506 - [c14]Neringa Altanaite, Johannes Langguth:
GPU-based Acceleration of Detailed Tissue-Scale Cardiac Simulations. GPGPU@PPoPP 2018: 31-38 - [i1]Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth:
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. CoRR abs/1801.09809 (2018) - 2017
- [j8]Johannes Langguth
Accelerating Detailed Tissue-Scale 3D Cardiac Simulations Using Heterogeneous CPU-Xeon Phi Computing. Int. J. Parallel Program. 45(5): 1236-1258 (2017) - [c13]Mohammed Sourouri, Espen Birger Raknes, Nico Reissmann, Johannes Langguth, Daniel Hackenberg
Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures. SC 2017: 41 - [c12]Johannes Langguth, Chad Jarvis, Xing Cai:
Porting Tissue-Scale Cardiac Simulations to the Knights Landing Platform. ISC Workshops 2017: 376-388 - 2016
- [c11]Johannes Langguth, Qiang Lan, Namit Gaur, Xing Cai, Mei Wen, Chunyuan Zhang:
Enabling Tissue-Scale Cardiac Simulations Using Heterogeneous Computing on Tianhe-2. ICPADS 2016: 843-852 - [c10]Jérémie Lagravière, Johannes Langguth, Mohammed Sourouri, Phuong Hoai Ha
On the performance and energy efficiency of the PGAS programming model on multicore architectures. HPCS 2016: 800-807 - 2015
- [j7]Mahantesh Halappanavar, Alex Pothen
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer 48(8): 46-55 (2015) - [j6]Johannes Langguth
Parallel performance modeling of irregular applications in cell-centered finite volume methods over unstructured tetrahedral meshes. J. Parallel Distributed Comput. 76: 120-131 (2015) - [j5]Johannes Langguth, Mohammed Sourouri, Glenn Terje Lines
Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes. IEEE Micro 35(4): 6-15 (2015) - [c9]Mohammed Sourouri, Johannes Langguth, Filippo Spiga, Scott B. Baden, Xing Cai
CPU+GPU Programming of Stencil Computations for Resource-Efficient Use of GPU Clusters. CSE 2015: 17-26 - [c8]Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo
Optimizing Approximate Weighted Matching on Nvidia Kepler K40. HiPC 2015: 105-114 - [c7]Qiang Lan, Namit Gaur, Johannes Langguth, Xing Cai
Towards Detailed Tissue-Scale 3D Simulations of Electrical Activity and Calcium Handling in the Human Cardiac Ventricle. ICA3PP (3) 2015: 79-92 - 2014
- [j4]Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne:
On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. 40(7): 289-308 (2014) - [c6]Johannes Langguth, Xing Cai
Heterogeneous CPU-GPU computing for the finite volume method on 3D unstructured meshes. ICPADS 2014: 191-199 - 2013
- [j3]Kamer Kaya, Johannes Langguth, Fredrik Manne, Bora Uçar
Push-relabel based algorithms for the maximum transversal problem. Comput. Oper. Res. 40(5): 1266-1275 (2013) - [c5]Anne Benoit
Semi-Matching Algorithms for Scheduling Parallel Tasks under Resource Constraints. IPDPS Workshops 2013: 1744-1753 - [c4]Johannes Langguth, Nan Wu, Jun Chai, Xing Cai
On the GPU performance of cell-centered finite volume method over unstructured tetrahedral meshes. IA3@SC 2013: 7:1-7:8 - 2012
- [c3]Anaël Grandjean, Johannes Langguth, Bora Uçar
On Optimal and Balanced Sparse Matrix Partitioning Problems. CLUSTER 2012: 257-265 - [c2]Ümit V. Çatalyürek, Kamer Kaya, Johannes Langguth, Bora Uçar:
A partitioning-based divisive clustering technique for maximizing the modularity. Graph Partitioning and Graph Clustering 2012: 171-186 - 2011
- [j2]Johannes Langguth, Md. Mostofa Ali Patwary, Fredrik Manne:
Parallel algorithms for bipartite matching problems on distributed memory computers. Parallel Comput. 37(12): 820-845 (2011) - 2010
- [j1]Johannes Langguth, Fredrik Manne, Peter Sanders:
Heuristic initialization for bipartite matching problems. ACM J. Exp. Algorithmics 15 (2010) - [c1]Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen
Identifying Rare Cell Populations in Comparative Flow Cytometry. WABI 2010: 162-175
Coauthor Index
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