Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

The recent methods for cross-network node classification mainly exploit graph neural
networks (GNNs) as feature extractor to learn expressive graph representations across the …

Twitter, one of the most significant social media platforms, can be used as data sources to
research public opinion on various topics, including political conflicts. People worldwide …

Nowadays, Climate change is an important environmental factor that affects every living
thing on the earth. It is very essential to study the public perceptions regarding the disaster …

Graph learning is being increasingly applied to image clustering to reveal intra-class and
inter-class relationships in data. However, existing graph learning-based image clustering …

Objectives Mpox has been declared a Public Health Emergency of International Concern by
the World Health Organization on July 23, 2022. Since early May 2022, Mpox has been …

News impact analysis has become a common task conducted by finance researchers, which
involves reading and selecting news articles based on themes and sentiments, pairing news …

Background Developing an understanding of the public discourse on COVID-19 vaccination
on social media is important not only for addressing the ongoing COVID-19 pandemic but …

Since December 2019, the world has been fighting against the COVID-19 pandemic. This
epidemic has revealed a bitter truth that though humans have advanced to unprecedented …

This study investigates the complex origins of energy poverty, focusing on economic,
technological, and infrastructural aspects through the analysis of peer-reviewed articles …