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Daniel Thilo Schroeder
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2020 – today
- 2022
- [c13]Johannes Moe, Konstantin Pogorelov, Daniel Thilo Schroeder, Johannes Langguth:
Implementating Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs. IPDPS Workshops 2022: 45-54 - [c12]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 - [c11]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
- [c10]Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkukova, Stefan Brenner, Johannes Langguth:
WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets. OASIS@HT 2021: 21-25 - [c9]Daniel Thilo Schroeder, Ferdinand Schaal, Petra Filkukova
, 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 - [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 Filkukova
, 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 Filkukova, 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 Filkukova
, 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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