Bayesian logic is a type of statistical analysis that can quantify an uncertain outcome by determining its probability of occurrence using previously known, related data. Bayesian filters are used ...

BNPool is a layer for GNN architectures for graph classification and node clustering. BNPool leverages a Bayesian non-parametric approach to dynamically group nodes based on their features, the graph ...

Graph filters are ubiquitous for processing data over graphs. However, most filters obtained from data are point-estimates and may be sensitive to changes in topology or data distributions. Thus, ...

This is the repo for GraphComBO, a Bayesian optimization tool for black-box and expensive functions defined over node subsets in graphs, where the goal is to find the optimal subset within a limited ...

In this paper, we introduce Bayesian Abductive Logic Programs (BALPs), a new formalism that integrates Bayesian Logic Programs (BLPs) and Abductive Logic Programming (ALP) for abductive reasoning.

Network attack graphs are originally used to evaluate what the worst security state is when a concerned net-work is under attack. Combined with intrusion evidence such like IDS alerts, attack graphs ...