Jana Vatter

According to our database, Jana Vatter authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks.

Jana Vatter, Mykhaylo Zayats, Marcos Martínez Galindo, Vanessa López, Ruben Mayer, Hans-Arno Jacobsen, Hoang Thanh Lam

CoRR, February, 2025

2024

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey.

Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen

ACM Comput. Surv., January, 2024

Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.

Barbara Hoffmann, Jana Vatter, Ruben Mayer

CoRR, 2024

Choosing a Classical Planner with Graph Neural Networks.

Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz

CoRR, 2024

Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs.

Jana Vatter, Maurice L. Rochau, Ruben Mayer, Hans-Arno Jacobsen

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.

Barbara Hoffmann, Jana Vatter, Ruben Mayer

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024