The code is written in Python 3.8. Before running, you need to first install the required packages by typing following commands (Using a virtual environment is ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

Artificial General Intelligence (AGI) refers to machine intelligence that possesses general human-like intelligence and can ...

What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...

When the volume of after-sales inquiries on a large e-commerce platform surged by 500% during a promotional period, the Real Agent intelligent agent utilized multimodal interaction technology to ...