Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Graph is a commonly used data structure to store large relational data in today's education networks. With the growing demand for storing and processing large graph data, graph data compression is ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

We present a fast dynamic graph data structure for the GPU. Our dynamic graph structure uses one hash table per vertex to store adjacency lists and achieves 3.4-14.8x faster insertion rates over the ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights and analytics.

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...