Author Archives: Ruben Mayer

Our paper titled “Beyond Message Passing: Modern GNN Architectures for Online Planner Selection” has been accepted at the International Conference on Automated Planning and Scheduling (ICAPS) 2026!

Our paper titled “How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems” has just been accepted for VLDB 2025!

Two papers on GNN and Federated Learning systems have been accepted at international top conferences: Nikolai Merkel, Pierre Toussing, Ruben Mayer, and Hans-Arno Jacobsen. “Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study.” 15 Pages. Accepted at VLDB 2025. Preprint available: https://arxiv.org/abs/2409.11129 Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, and Hans-ArnoContinue reading “Papers accepted at VLDB and Middleware conference”

Our paper titled “An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training” has been accepted at EDBT 2025! A preprint can be found on Arxiv: https://arxiv.org/abs/2308.15602