Abstract: Adversarial attacks can fool powerful graph neural networks by subtly modifying input data's graph topology or node attributes. Attackers usually regard the whole graph or local subgraphs as ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

For nearly 30 years, a landmark study shaped how scientists understood the relationship between brain and body size in ...

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

The CIL MT Syllabus 2026 consists of two papers, with a total of 660 vacancies for Management Trainee. The Paper 1 covers ...

Super apps and AI agents, from theory to practice: workflows, integrations, data protection, effective prompts, and ...

While bears myopically focus on overvalued tech stocks, warning that a stock market bubble is beginning to burst, not only ...

To participate, submit your response here by July 10 at 9 a.m. Eastern. This week’s winners will be announced by July 22. By The Learning Network Heeva Alavi, an Iranian-American, writes about her ...

Residents of Nashville and Detroit face dangerous heat this week as National Weather Service offices in both cities have ...

Existing studies on subtitle translation of animated film have mostly focused on language simplification and cultural adaptation, with insufficient attention paid to the systematic shifts and ...

Artificial intelligence has rewritten the rules of online discovery in just a few short years, since people now turn to ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...