Abstract: The course knowledge graph aims to provide personalized learning recommendation and learning path map, and solve the problems of “information overload” and “knowledge roaming” among learners ...

This sample demonstrates how to use the Microsoft Graph JavaScript SDK to access data in Office 365 from Node.js Express apps. NOTE: This sample was originally built from a tutorial published on the ...

Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.

, the code uses TensorFlow's tf.image.decode_jpeg to handle JPEG decoding. This means anyone using the multimodal features has to install the full TensorFlow package, which is pretty heavy (several ...

Abstract: Temporal graph functional dependencies (TGFDs) are fundamental for enforcing data consistency, uncovering latent patterns, and enabling reliable inference in temporal knowledge graphs (TKGs) ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...