This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...

Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States Introduction: This study investigates four subdomains of executive functioning—initiation, cognitive inhibition ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...

Graph-based methods have become increasingly important in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search helps identify data points closest to a given ...

Abstract: In this paper, we propose to study the inversion of multivariable linear time varying systems modelled by bond-graph approach. Thus, an analysis method based on non-commutative differential ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...

Transformers have taken the machine learning world by storm with their powerful self-attention mechanism, achieving state-of-the-art results in areas like natural language processing and computer ...

Finding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function across multiple ...

The Graph, a project that says it's sometimes called the Google of Web3, has come out with a new roadmap, outlining new features the network will add as it characterizes itself as the leader of ...