To this end, they want to "accelerate the adoption of safe, responsible and trustworthy AI that benefits people, mitigates negative externalities and promotes our national security".

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.

Implementation Details Johnson's Algorithm: This algorithm works by re-weighting the graph's edges to eliminate negative weights. This is achieved by computing a "potential" for each vertex using a ...