Graphon Inc., a startup with technology that makes artificial intelligence models better at processing large datasets, ...

If you've ever taken an introductory astronomy class, you've probably seen the Hertzsprung-Russell (HR) diagram. This graph ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

The Futures and Concepts Command (FCC) is designing the future force by developing integrated concepts and requirements, informed by experimentation, and synchronized into T2COM and Army processes to ...

Atlassian's pitch is that the Teamwork Graph lets organizations see how they actually work. The harder ask is whether buyers ...

Ask SLIP™ transforms memory dumps, mental states, and real-world context into structured action using situational ...

Abstract: Graph neural networks (GNNs) have attracted extensive research attention in recent years due to their capability to progress with graph data and have been widely used in practical ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify a function. The agent does it confidently, cleanly, and ...

Abstract: Multi-view data processing is an effective tool to differentiate the levels of consumers on electronics. Recently, the graph based multi-view clustering methods have attracted widespread ...