Abstract: Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors.

While machine learning has flourished with the help of the Python ecosystem, robot development is still struggling to climb uphill. This contradiction of "strong hardware and weak software" has become ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Apple Inc. (NASDAQ:AAPL) is reportedly developing its own artificial intelligence-powered web search tool, internally dubbed “World Knowledge Answers,” for integration into Siri by 2026.

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Abstract: Precisely predicting Drug-Drug Interactions (DDIs) carries the potential to elevate the quality and safety of drug therapies, protecting the well-being of patients, and providing essential ...

Apple is preparing to launch World Knowledge Answers, a new AI-powered “answer engine” integrated into Siri, with rollout expected in spring 2026. The tool is designed to rival OpenAI’s ChatGPT, ...