arXiv cs.NE
· Papers
Effects of relational graph modularity and depth on the learning performance of neural networks
arXiv:2507.10005v2 Announce Type: replace-cross Abstract: In recent years, graph-based machine learning techniques, such as reinforcement learning and graph neural networks, have garnered significant attention. While some recent studies have started to explore the relationship between the graph structure of neural netw