Malware detection has become a major concern due to the increasing number and
complexity of malware. Traditional detection methods based on signatures and heuristics …

Graph Neural Networks (GNNs) achieve state-of-the-art performance in various graph-
related tasks. However, the black-box nature often limits their interpretability and …

In the age of the infodemic, it is crucial to have tools for effectively monitoring the spread of
rampant rumors that can quickly go viral, as well as identifying vulnerable users who may be …

arXiv:2304.13010v2 [cs.DB] 5 Jul 2023 Page 1 arXiv:2304.13010v2 [cs.DB] 5 Jul 2023
Unstructured and structured data: Can we have the best of both worlds with large language …

In the age of the infodemic, it is crucial to have tools for effectively monitoring the spread of
rampant rumors that can quickly go viral, as well as identifying vulnerable users who may be …

Malware poses an ever-growing threat to organizations, governments, and institutions. To
effectively combat its proliferation and development by threat actors, identifying the authors …

Mixup, which generates synthetic training samples on the data manifold, has been shown to
be highly effective in augmenting Euclidean data. However, finding a proper data manifold …

In the rapidly evolving field of real estate economics, the prediction of house prices
continues to be a complex challenge, intricately tied to a multitude of socio-economic factors …