Florian Grötschla

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Distributed Computing

Graph Structures

Top Venues

Publications

Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. ICLR (2024)
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence. AAMAS (2024)
Carlos Vonessen, Florian Grötschla, Roger Wattenhofer
Next Level Message-Passing with Hierarchical Support Graphs. CoRR (2024)
Rainer Feichtinger, Florian Grötschla, Lioba Heimbach, Roger Wattenhofer
Benchmarking GNNs Using Lightning Network Data. CoRR (2024)
Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs. CoRR (2024)
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence. CoRR (2024)
Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer
Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing. CoRR (2023)
Luca A. Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer
DISCO-10M: A Large-Scale Music Dataset. CoRR (2023)
Luca A. Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer
DISCO-10M: A Large-Scale Music Dataset. NeurIPS (2023)
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
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR (2023)
Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. LoG (2023)
Julian Minder, Florian Grötschla, Joël Mathys, Roger Wattenhofer
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning. CoRR (2023)
Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics. CoRR (2023)
Eren Akbiyik, Florian Grötschla, Beni Egressy, Roger Wattenhofer
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets. CoRR (2023)
Florian Grötschla, Joël Mathys, Roger Wattenhofer
Learning Graph Algorithms With Recurrent Graph Neural Networks. CoRR (2022)
Florian Grötschla, Joël Mathys
Hierarchical Graph Structures for Congestion and ETA Prediction. CoRR (2022)
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
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) (2021)