Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …

Inspired by the success of foundation models in applications such as ChatGPT, as graph
data has been ubiquitous, one can envision the far-reaching impacts that can be brought by …

Inspired by the success of graph contrastive learning, researchers have begun exploring the
benefits of contrastive learning over hypergraphs. However, these works have the following …

Time series data mining is immensely important in extensive applications, such as traffic,
medical, and e-commerce. In this paper, we focus on medical temporal variation …

In the dynamic landscape of social media, the strategic use of hashtags has emerged as a
crucial tool for enhancing content discoverability and engagement. This research introduces …

Accurate health risk prediction is crucial for making informed clinical decisions and
assessing the appropriate allocation of medical resources. While recent deep learning …

Online abusive activity (aka Internet abusive activity) refers to any form of aggressive
behavior mediated by online platforms [1, 9, 136]. These behaviors, such as drug trafficking …

In this paper, we propose a model for identifying drug trafficking organizations and
assessing their scale by collecting drug promotional tweets from the social media …

본 논문은 10 대와 청년층에서 빈번하게 발생하는 마약 범죄를 수사하기 위해 소셜미디어
플랫폼 'X'에서 마약 홍보 트윗을 수집하고, 이를 바탕으로 마약 유통 조직 및 규모를 식별하는 …