Florian Grötschla

According to our database, Florian Grötschla authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Lifecycle of a Lightning Network Payment Channel.

Florian Grötschla, Lioba Heimbach, Severin Richner, Roger Wattenhofer

CoRR, 2024

AEye: A Visualization Tool for Image Datasets.

Florian Grötschla, Luca A. Lanzendörfer, Marco Calzavara, Roger Wattenhofer

CoRR, 2024

Benchmarking GNNs Using Lightning Network Data.

Rainer Feichtinger, Florian Grötschla, Lioba Heimbach, Roger Wattenhofer

CoRR, 2024

Next Level Message-Passing with Hierarchical Support Graphs.

Carlos Vonessen, Florian Grötschla, Roger Wattenhofer

CoRR, 2024

Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks.

Florian Grötschla, Luca Strässle, Luca A. Lanzendörfer, Roger Wattenhofer

Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs.

Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs.

Florian Grötschla, Joël Mathys, Christoffer Raun, Roger Wattenhofer

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.

Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing.

Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer

CoRR, 2023

SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning.

Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer

CoRR, 2023

Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets.

Eren Akbiyik, Florian Grötschla, Beni Egressy, Roger Wattenhofer

CoRR, 2023

DISCO-10M: A Large-Scale Music Dataset.

Luca A. Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics.

Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

Learning Graph Algorithms With Recurrent Graph Neural Networks.

Florian Grötschla, Joël Mathys, Roger Wattenhofer

CoRR, 2022

Hierarchical Graph Structures for Congestion and ETA Prediction.

Florian Grötschla, Joël Mathys

CoRR, 2022

2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2022 Competition Track, 2021