Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Use these eight AI prompts to create clearer charts, graphs, and data visualizations across ChatGPT, Gemini, Claude, Grok, and other AI tools.

Abstract: Analysis and processing of very large data sets, or big data, poses a significant challenge. Massive data sets are collected and studied in numerous domains, from engineering sciences to ...

XRP fell from $2.39 to $2.27, breaking below the $2.32 support level. A high-volume drop to $2.21 was absorbed by demand, stabilizing the price. Traders are watching if XRP can reclaim the $2.31-$2.32 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

Plants grow on the Gull Lake shoreline on Dorothy Whitmer’s property in East Gull Lake on June 3.

Abstract: Graph neural networks (GNNs) have achieved considerable success in dealing with graph-structured data by the message-passing mechanism. Actually, this mechanism relies on a fundamental ...

This is the official implementation of TranSG presented by "TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person ...