Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...

In Python's data visualization library, Matplotlib, the line graph is the most fundamental and frequently used tool. By not just connecting numbers with lines, but also appropriately decorating line ...

To perform advanced data visualization using Matplotlib, it is essential to correctly understand its drawing structure. The relationship between the "Figure," which serves as the foundation for ...

Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

No genre gesture goes untapped in this Netflix film, a coming-of-age saga about the Virgin Mary featuring Anthony Hopkins as King Herod. By Lisa Kennedy When you purchase a ticket for an independently ...

Abstract: We introduce the directed Flip-Chain algorithm, which transforms the regular directed graph into another regular directed graph by swapping two adjacent vertices in the trail of directed ...

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate ...

Directed Acyclic Graphs with a variety of methods for both Nodes and Edges, and multiple exports (NetworkX, Pandas, etc). This project is the foundation for a commercial product, so expect regular ...