Abstract: Graphs are naturally used to describe the structures of various real-world systems in biology, society, computer science etc., where subgraphs or motifs as basic blocks play an important ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Researchers have developed an AI model that predicts job salaries with high accuracy while identifying which skill ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

These are my go-to libraries for Python data crunching.

Forward-thinking IT leaders are redesigning ownership, observability, and operational controls to make accountability ...

Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

New leader of the National Academy of Sciences Neil Shubin warns: ‘a society that loses science loses the future’.

Summer employee positions at the Department of Computer Science 2026 Living in Finland Humans of Computer Science Computer Science at Aalto University is more than just coding. Here are stories from ...

Abstract: Graph clustering, which aims to divide nodes in the graph into several distinct clusters, is a fundamental yet challenging task. Benefiting from the powerful representation capability of ...