If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Zero-shot learning (ZSL) tackles the unseen class recognition problem by transferring semantic knowledge from seen classes to unseen ones. Typically, to guarantee desirable knowledge transfer, a ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

GDAI 2025 is scheduled for August 22nd to 24th, 2025, with the theme,“AI, Data, and the Future of Innovation,” bringing ...

When it comes to social influence, knowing how people are connected matters more than simply knowing lots of people, found ...

If you are like us, you love data, especially when it is presented in an orderly and appealing manner – think elegant charts and graphs. Data imagery is so popular that there is even a subreddit ...

Based on InfraNodus AI text analysis and visualization tool, this plugin visualizes the content of Obsidian vaults as a knowledge graph, retrieves the main topical clusters, most important ideas, and ...

Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. This work introduces ...