Path finding in a graph. Contribute to anvaka/ngraph.path development by creating an account on GitHub.

But empirical studies in program comprehension are quite clear that the information needed to describe code much more often resides in the context in the form of Function Call Graph surrounding that ...

Those neural networks need the right inductive biases so that they can reliably learn useful graph functions. With that foundation, we can build powerful neural graph systems. Here we present a "Graph ...

This paper studies the relationship between a graph neural network (GNN) and a manifold neural network (MNN) when the graph is constructed from a set of points sampled from the manifold, thus encoding ...

Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.” ...

The Apple Watch's apps offer lots of different ways to integrate into your life and reduce the amount of time you spend ...

ClickUp is an attractive work management solution with a ton of features, especially for collaborative document creation, but ...

Boeing and Airbus aside, markets hit highs despite weak data, inflation, and tariff risks that threaten spending and growth.

PFIX provides convex exposure to rising long-term rates via payer swaptions, making it a strong hedge in volatile, steepening ...