The negative interest signals would be a piece of promising evidence to support detailed interest modeling. In this work, we propose a perturbed graph contrastive learning with negative propagation ...

When dealing with negative cycles or weights in graph algorithms, it's important to choose the right approach. Dijkstra’s algorithm isn’t suitable for negative weights, so we use Bellman-Ford ...

The project is supported by the article Algorithmic Alchemy: Exploiting Graph Theory in the Foreign Exchange. It contains examples of running the Bellman-Ford algorithm that allows to find a path ...

Learn how to detect, avoid, or exploit negative cycles or weights in graph algorithms, and what are some common applications and techniques for shortest paths and maximum flows.