| The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey J Vatter, R Mayer, HA Jacobsen ACM Computing Surveys, 2023 | 1638 | 2023 |
| Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs J Vatter, ML Rochau, R Mayer, HA Jacobsen Proceedings of the VLDB Endowment. ISSN 2150, 8097, 2024 | 2 | 2024 |
| Choosing a Classical Planner with Graph Neural Networks J Vatter, R Mayer, HA Jacobsen, H Samulowitz, M Katz arXiv preprint arXiv:2402.04874, 2024 | 2 | 2024 |
| Experiment & Benchmark Paper: To What Extent Does Quality Matter? The Impact of Graph Data Quality on GNN Model Performance J Vatter, ML Rochau, R Mayer, HA Jacobsen Proceedings of the VLDB Endowment. ISSN 2150, 8097, 2025 | | 2025 |
| WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks J Vatter, M Zayats, MM Galindo, V López, R Mayer, HA Jacobsen, HT Lam arXiv preprint arXiv:2502.19986, 2025 | | 2025 |
| Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act B Hoffmann, J Vatter, R Mayer arXiv preprint arXiv:2410.22120, 2024 | | 2024 |
