Fed's recent rate cut signals a shift to looser monetary policy, but real estate cycle risks and declining homebuilder stocks ...

Abstract: Graph Neural Networks (GNNs) have been used to solve complex problems of drug discovery, social media analysis, etc. Meanwhile, GPUs are becoming dominating accelerators to improve deep ...

What if the next best 100x crypto is already roaring to life, hidden in plain sight, waiting for early believers to seize it ...

Microsoft is extending its Fabric cloud-based data platform by including Oracle and Google's BigQuery data warehouse in its mirroring capability, and launching a new graph database based on an ...

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: Reconstructing time-varying graph signals (or graph time-series imputation) is a critical problem in machine learning and signal processing with broad applications, ranging from missing data ...