AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DISCCO: Distance-Based Bayesian Spatial Clustering of Complex Objects with Node-Frailty Centrality
Simulations with distribution- and matrix-valued responses show that the proposed spatial distance-clustering framework improves region recovery relative to existing distance-clustering methods, while the frailty layer provides interpretable centrality summaries.
On Graph-Informed Distance Metrics for Comparing Graph Partitions
Under stochastic block models, it is proved that stronger topological disruptions incur asymptotically larger distances almost surely in both inter-community and intra-community split settings.