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.
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 ...
Students respond to a guest essay about the many roles books play in our lives. By The Learning Network Hear from journalists who are covering how this technology is changing life in and out of school ...
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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 ...