We compare the proposed algorithm with other state-of-the-art graph matching algorithms based on a single-layer structure using synthetic and real data sets and demonstrate the superior performance of ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

As opposed to random forest algorithms, the objective of this study is to increment expectation rate involving a clever model of bidirectional encoder portrayals for transformers (BERT). The viability ...

This model, introduced by Arfaoui and Fraigniaud in 2014, captures all models of distributed graph algorithms that obey physical causality; this includes not only classical deterministic LOCAL and ...

From jury duty to tax audits, randomness plays a big role. Scientists used quantum physics to build a system that ensures those number draws can’t be gamed.