Abstract: Despite the proliferation of the Internet, prejudice and misinformation have persisted throughout history. False news and hate speech have long been a part of human nature, as has lying and ...

Abstract: Attribute graph clustering requires joint modeling of both graph structure and node properties, which is challenging. In recent years, graph neural networks have been utilized to mine deep ...

The idea that companies must “delight” their customers has become so entrenched that managers rarely examine it. But ask yourself this: How often does someone patronize a company specifically because ...

Graph Contrastive Learning (GCL) has emerged as a highly effective self-supervised approach in graph representation learning. However, prevailing GCL methods confront two primary challenges: 1) They ...

Large Language Models (LLMs) are advanced artificial intelligence systems trained on vast amounts of text data. They can understand, generate, and interpret human language with remarkable accuracy.