Container image scanning has come a long way over the years, but it still comes with its own set of, often unique, challenges ...
Abstract: The minimum spanning tree (MST) plays an important role in variant fields, such as chip design and network analysis. With the rapid expansion of vertices in real-life graphs, the bottleneck ...
The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...
Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...