Abstract: Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention ...

Explain as if someone is seeing this repo and running your code for the first time. For example, note here if you just need to run main.R to run all other scripts. Give instructions if not all files ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Palo Alto Networks Inc.‘s announcement Tuesday of its intent to acquire CyberArk for $25 billion implies a heavy price tag, as its shares fell on the news. But I believe it to be a good, long-term ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Cato Networks this week announced a new policy analysis engine for its cloud-based secure access service edge platform that the company says will optimize and improve SASE policies, reduce risk, ...

With the widespread use of social media, online social experiences have become increasingly influential on the mental health of young people. However, how individuals’ socio-emotional skills modify ...

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...

Background: This study employs a network analysis approach to explore the interconnections between anxiety, depression, and sleep problems and smartphone addiction among college students using network ...