Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

In this paper, a detailed performance evaluation of synchronous and asynchronous operations in terms graph matching is provided. A synchronous and an asynchronous design of the Hoepman's algorithm, ...

Its subject line: “You blew my mind.” Time and memory (also called space) are the two most fundamental resources in computation: Every algorithm takes some time to run, and requires some space to ...

Abstract: As part of the 2018 MIT-Amazon Graph Challenge on subgraph isomorphism, we propose a novel joint hierarchical clustering and parallel counting technique called the PHC algorithm that can ...

Mojo graph processing library inspired by Python’s NetworkX, developed to explore high-performance graph algorithms and data structures. Aims to provide a flexible interface for creating, manipulating ...

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...