Primary tabs

Most recent publications

K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Proceedings, refereed
2022
View
J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
View
A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
View
J. Langguth, A. Tumanis and A. Azad

Incremental Clustering Algorithms for Massive Dynamic Graphs

In International Conference on Data Mining Workshops (ICDMW). Auckland, New Zealand : IEEE, 2021.
Proceedings, refereed
2021
View

Find publication

Status

Departments

Publication type

Year published

Export 32 results:
2020

Proceedings, refereed

L. Burchard, D. T. Schroeder, S. Becker and J. Langguth

Resource Efficient Algorithms for Message Sampling in Online Social Networks

In The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020). IEEE, 2020.
Status: Published
L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth

A Scalable System for Bundling Online Social Network Mining Research

In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020.
Status: Published
K. Kaya, J. Langguth, I. Panagiotas and B. Uçar

Karp-Sipser based Kernels for Bipartite Graph Matching

In Algorithm Engineering and Experiment (ALENEX). Society for Industrial and Applied Mathematics, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020

In Media Eval Challange 2020. CEUR, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2020.
Status: Published
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

A Framework for Interaction-based Propagation Analysis in Online Social Networks

In Complex Networks. Springer, 2020.
Status: Accepted
D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

In MediaEval 2020. CEUR, 2020.
Status: Published
2019

Proceedings, refereed

K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Status: Published
C. Jarvis, G. T. Lines, J. Langguth, K. Nakajima and X. Cai

Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling

In International Conference on Computational Science (ICCS 2019). Springer, 2019.
Status: Published
J. Langguth, H. Arevalo and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Status: Published