Abstract: Motivated by the study of matrix elimination orderings in combinatorial scientific computing, we utilize graph sketching and local sampling to give a data structure that provides access to ...
Abstract: Graph representation learning (GRL) is fundamental in multi-graph applications like molecular property prediction. Graph neural networks (GNNs) have emerged as a popular method for GRL.
Learn about the volatility smile, a key concept in options trading that perplexes many investors, and how it impacts options ...
An instance of the GraphRequestAdapter class handles building client. To create a new instance of this class, you need to provide an instance of AuthenticationProvider, which can authenticate requests ...
Add the repository and a compile dependency for microsoft-graph to your project's build.gradle: An instance of the GraphServiceClient class handles building requests, sending them to the Microsoft ...
Department of Chemical & Biomolecular Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, United States Article Views are the COUNTER-compliant sum of full text ...
A group of college students went on a tech fast for a week. Not only did they survive — they also learned more about themselves and the world around them. By Jeremy Engle Hear from journalists who are ...
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To demonstrate its value, we used graph data science and machine learning to (1) propose new therapeutic targets based on similarities of AD to Parkinson disease and (2) repurpose existing drugs that ...