Wallman unpacks how graph-level fragmentation in fragDETR captures internal fragments and neutral losses, with peak and ...

Researchers and developers worldwide can now access a new photonic quantum computer that recently began formal operation in ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

The PyGSP is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists.

Abstract: In many real time scenarios, it becomes necessary to compare complex networks. Graph distances measure the degree of similarity between any two networks. We conjecture that construction of ...

In work that has been 30 years in the making, mathematicians have proved a major part of a profound mathematical vision called the Langlands program. A group of nine mathematicians has proved the ...

Spectral effects are a relatively new area of technology, and in recent years their popularity has really taken off. Developers from all over the world have been releasing plugins using a new buzzword ...

Abstract: Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless ...