The G7 countries have agreed to take a closer look at the enormous electricity consumption caused by AI and its potential for energy efficiency and innovation.

We introduce places with negative holding times and tokens with negative token counts into a timed event graph in order to model and analyze time window constraints. We extend the enabling and firing ...

Negative sampling is an approach used to speed up knowledge graph embedding learning and maximize the efficacy of embedding models for supported tasks such as link prediction and entity resolution.

The repository includes two primary algorithms: Johnson's algorithm, which is highly efficient for sparse graphs, and the Floyd-Warshall algorithm, which is suitable for dense graphs. Both ...