The long-held belief that "data is an asset" has led to data hoarding—large ecosystems built without a clear purpose, often ...

Commercial real estate lending remains highly sensitive to US interest rates, yet it also offers a much wider complexity premium than competing fixed income asset classes, with potential for ...

It can also be used from Python (>=3.8) via its nanobind bindings. GGNN is based on the method proposed in the paper GGNN: Graph-based GPU Nearest Neighbor Search by Fabian Groh, Lukas Ruppert, ...

To lower the time complexity for a threshold implementation of a specific non-linear function, one needs to decompose the function first and then search possible share methods for it. However, the ...

Abstract: Many interesting problems involve finding a little graph inside a bigger graph ... our research into the design and analysis of algorithms and into computational complexity, including ...

1.1. Related works A well-established method for linear assignments is the Hungarian algorithm, 13 developed by Kuhn in 1955 and revised by Munkres in 1957, 14 which succeeds in obtaining the optimal ...