On the subject of GreenOps, Tomicevic thinks simplistic anti-cloud arguments miss the point and believes graph technology deserves its own green spotlight – he writes as follows… It’s no secret that ...

When most people hear "polymer," they think of plastics. In our group, polymerization is a way to line up identical molecules like beads on a string and let quantum mechanics take over. Put magnetic ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

A new data structure and compression technique developed by engineers at UC San Diego enables the field of pangenomics to handle unprecedented scales of genetic information. Illustration by Alice ...

The primary purpose of this study is to present mathematical modeling methods inspired by graph theory operations and logic as a tool to structurally analyze the socio-economic composition of a city ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

️ Added reconstruction logic to identify which items were chosen ️ Improved knapsack solution beyond just max value ...