Abstract: Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional ...
Abstract: Anchor-based strategies have been widely used to accelerate spectral clustering, yet their effectiveness is directly affected by the quality of the selected anchors. Random sampling has ...
Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States Amphionic Inc, Ann Arbor, Michigan 48109, United States Department of Chemical Engineering, ...
We discuss mathematical aspects of how to digitally represent information. Redundancy or oversampling is an important ingredient in many types of signal representations. For example, in the classical ...
The nature of monetary arrangements is often discussed without any reference to its detailed construction. We present a graphic representation that allows for a clear understanding of modern monetary ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...
Advances in Chemical Representations and AI in Drug Discovery: The past century’s technological advancements, especially the computer revolution and high-throughput screening in drug discovery, have ...
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