In this paper, we investigate three types of graph anomalies: local, global, and structure anomalies. And, graph neural networks (GNNs) based anomaly detection methods attract considerable research ...

An international team of astronomers reports the discovery of a new ultracompact binary of the AM CVn type exhibiting ...

Some readers will have heard about the issue of China's "paper mills", companies which have in recent years been churning out research papers based on fraudulent findings for Chinese universities.

UA research focuses on diverse areas, including Alzheimer's disease, space sciences, cancer detection and sustainable mining. The university advocates for continued federal and state investment in ...

The findings were published this month in a National Bureau of Economic Research working paper, as House Republicans were drafting a plan that could significantly cut Medicaid, which covers 71 ...

The tool, called Finch, takes in biology data (primarily in the form of research papers) and a prompt (e.g. “What can you tell me about molecular drivers of cancer metastasis?”) and runs code ...

This paper uses detailed data on consumption patterns from France to quantify the gender gap in carbon footprints related to food and transport and investigate its underlying drivers. The authors show ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Anomaly detection in blockchain transactions is crucial for ensuring the security of blockchain networks. To address the limitations of existing methods, this study proposes a ...

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