Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...

The interest rate environment is changing once again. After the Federal Reserve kept its federal funds rate on pause for all of 2025, the central bank is poised to issue its first rate cut of the year ...

Every month, we publish a list of fraudulent email domains observed across the websites and mobile apps we protect. See the July 2025 list for a recent example. These domains are tied to fake account ...

A new intelligent fault diagnosis framework for CNC systems, based on LLMS and KG, has been proposed by researchers from Huazhong University of Science and Technology, Center for Strategic Studies of ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...

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We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Liam McCabe After a decade of reporting on HVAC and other major appliances, I ...

Graph-based methods have become increasingly important in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search helps identify data points closest to a given ...

A fast method is presented for finding a fundamental set of cycles for an undirected finite graph. A spanning tree is grown and the vertices examined in turn, unexamined vertices being stored in a ...