Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Bitcoin cloud mining platforms have become a popular alternative to traditional cryptocurrency mining, allowing users to mine Bitcoin without investing in expensive hardware or dealing with the ...

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 ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

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 ...

Graph-based image segmentation frames an image as a weighted graph in which pixels or regions correspond to nodes, and edges encode similarity or affinity between neighbouring elements. By formulating ...

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, ...

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 ...