A python implementation of Correlation Clustering (Bansal et al., 2004). Correlation Clustering is a weighted graph clustering technique minimizing the sum of cluster disagreements, i.e., the sum of ...

To address these limitations, we propose CGATracker, a correlation-aware graph alignment method for RMOT, which facilitates precise relationship modeling through relational scoring. Specifically, we ...

The efficient clustering of attributed graphs is a critical and challenging problem that has attracted much attentions across various research fields. Despite recent advancements, many challenges ...

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 ...