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ORCIDDaniel Thilo Schroeder
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- affiliation: Simula Research Laboratory, Oslo, Norway
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2020 – today
- 2024
[c18]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- [c17]Daniel Thilo Schroeder
, Tobias Herb, Brian Elvesæter, Dumitru Roman:
GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs. ICPE (Companion) 2024: 98-105 - 2023
- [j3]Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov:
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. Int. J. Data Sci. Anal. 15(3): 329-346 (2023) - [j2]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. J. Data Min. Digit. Humanit. 2023 (2023) - [j1]Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov:
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories. J. Comput. Soc. Sci. 6(2): 443-484 (2023) - [i2]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) - [i1]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) - 2022
- [c16]Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. IPDPS Workshops 2022: 45-54 - [c15]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 - [c14]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 - [c13]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Asep Maulana, Johannes Langguth:
Combining Tweets and Connections Graph for FakeNews Detection at MediaEval 2022. MediaEval 2022 - [c12]Kenneth Langedal, Johannes Langguth, Fredrik Manne, Daniel Thilo Schroeder:
Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks. SEA 2022: 12:1-12:17 - 2021
- [c11]Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Johannes Langguth:
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. OASIS@HT 2021: 21-25 - [c10]Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkuková, Konstantin Pogorelov, Johannes Langguth:
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets. ICAART (2) 2021: 257-266 - [c9]Konstantin Pogorelov, Daniel Thilo Schroeder, Stefan Brenner, Johannes Langguth:
FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021. MediaEval 2021 - [c8]Luk Burchard, Johannes Moe, Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs. ISC 2021: 291-309 - 2020
- [c7]Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, Johannes Langguth:
A System for High Performance Mining on GDELT Data. IPDPS Workshops 2020: 1101-1111 - [c6]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 - [c5]Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
Evaluating Standard Classifiers for Detecting COVID-19 Related Misinformation. MediaEval 2020 - [c4]Luk Burchard, Daniel Thilo Schroeder, Sören Becker, Johannes Langguth:
Resource Efficient Algorithms for Message Sampling in Online Social Networks. SNAMS 2020: 1-8 - [c3]Luk Burchard, Daniel Thilo Schroeder, Konstantin Pogorelov, Sören Becker, Emily Dietrich, Petra Filkuková, Johannes Langguth:
A Scalable System for Bundling Online Social Network Mining Research. SNAMS 2020: 1-6
2010 – 2019
- 2019
- [c2]Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth:
FACT: a Framework for Analysis and Capture of Twitter Graphs. SNAMS 2019: 134-141 - [c1]Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao:
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS 2019: 297-302
Coauthor Index
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