An unusual ship, the Hidden Gem, set sail in late 2022 to test a daring idea: how to mine valuable minerals on the ocean floor. An unusual ship, the Hidden Gem, set sail in late 2022 to test a daring ...

In Python's data visualization library, Matplotlib, the line graph is the most fundamental and frequently used tool. By not just connecting numbers with lines, but also appropriately decorating line ...

Abstract: Graph mining, critical for discovering specific patterns within complex structures, is becoming increasingly important in our data-driven world. Due to their memory-bound nature, graph ...

Abstract: This work explores the mining of frequent subgraphs within TQKGs (Temporal Quadruples Knowledge Graphs), introducing the TeKGS (Temporal Knowledge Graph Subgraph Mining Framework). The TeKGS ...

The widespread use of technology presents computer scientists with infinite opportunities to interpret and manage massive volumes of resulting data. Through a variety of algorithms and complex code, ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate ...

The PyGSP2 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 ...