Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Ian says AI is starting to behave more like a coworker. And it turns out researchers have been tracking the reason why this ...
Supported by a National Endowment for the Humanities grant, Brown University scholar Michael Satlow will use cutting-edge ...
Former Tableau CEO Ryan Aytay, pictured during a visit to Seattle in 2024. (GeekWire File Photo / Todd Bishop) Ryan Aytay, a ...
Your company culture is the intangible knowledge new employees will absorb over time. But AI agents need all of it, all at once. Here's how to engineer the context.
Visual analytics helps organizations make decisions faster than traditional spreadsheetsEach data tool offers strengths based on project size, au ...
A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...
The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...
What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...
Gold is emerging as highly relevant amid its record-shattering rally in recent years and the current inflationary environment in Japan. Japan’s economy rebounded in Q2 after a contraction at the start ...
The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...
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