I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Today, CSA is releasing the official mapping of the AI Controls Matrix (AICM v1.0) to ISO/IEC 42001:2023—with companion ...

Welcome to the IMF data, including databases and platforms that have access to understandable and timely data, transforming lives by making economic and financial data findable, browsable, and usable.

Graph embedding maps a graph into low-dimensional vectors, i.e., embedding matrix, while preserving the graph structure, solving the high computation and space cost for graph analysis. Matrix ...

Graphs arising in statistical problems, signal processing, large networks, combinatorial optimization, and data analysis are often dense, which causes both computational and storage bottlenecks. One ...

Analyze the runtime data of various matrix multiplication algorithms in order to evaluate the theoretical versus empirical time complexity. Analyze the theoretical versus empirical time complexity of ...