January 2, 2025

Graph Neural Networks GNNs have become a powerful tool for analyzing graph-structured data, with applications ranging from social networks and

AI agents have become an integral part of modern industries, automating tasks and simulating complex systems. Despite their potential, managing

Sequential recommendation systems play a key role in creating personalized user experiences across various platforms, but they also face persistent

Federated learning has emerged as an approach for collaborative training among medical institutions while preserving data privacy. However, the non-IID

Data mining is vital for uncovering meaningful patterns and relationships within large datasets. These insights enable informed decision-making across diverse

Large language models (LLMs) have become pivotal tools in tackling complex reasoning and problem-solving tasks. Among them, o1-like models, inspired

Generative AI has revolutionized video synthesis, producing high-quality content with minimal human intervention. Multimodal frameworks combine the strengths of generative

Text-to-audio generation has transformed how audio content is created, automating processes that traditionally required significant expertise and time. This technology

Large Language Models (LLMs) and Vision Language Models (VLMs) have revolutionized the automation of mobile device control through natural language

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial