Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the ...

A research team led by SUTD proposes a quantum-enhanced framework for processing complex topological signals that could one ...

Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on pairwise graphs ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Apart from that, we integrate the prior knowledge into existing data to construct a more powerful approximation algorithm and enrich the prediction capability to accommodate the dynamic environment.

Late last year, TV identity resolution company Blockgraph announced the launch of its new data onboarding platform for small and local businesses.

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

CSSE-405 Data Structure & Application (DSA). A structured Java-based course covering core data structures and algorithms with theory, practical code, and real-world applications (University of Karachi ...