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cs.DC2024
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Nikolai Merkel, Daniel Stoll, Ruben Mayer +1
Recently, graph neural networks (GNNs) have gained much attention as a growing area of deep learning capable of learning on graph-structured data. However, the computational and me…
cs.DC2024
Should my Blockchain Learn to Drive? A Study of Hyperledger Fabric
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen
Similar to other transaction processing frameworks, blockchain systems need to be dynamically reconfigured to adapt to varying workloads and changes in network conditions. However,…