In the rapidly evolving field of machine learning, the ability to model complex relationships and interactions within data is increasingly developed. Traditional methods often rely on simplifying assumptions, such as pairwise interactions, which can limit the scope and accuracy of the models, particularly when dealing with high-dimensional or interconnected data. Hypergraph learning emerges as a powerful mechanism that extends the capabilities of traditional graph-based learning by allowing for the representation of multi-way relationships, which generate a more flexible and expressive framework for a wide range of applications.
This section is where you write a longer description of your product. Great product descriptions are clear and highlight the unique value a product provides to a client.
This section is where you write a longer description of your product. Great product descriptions are clear and highlight the unique value a product provides to a client.
Volume 4, Issue 7
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Volume 3, Issue 6
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Volume 3, Issue 5
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Volume 2, Issue 4
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Volume 2, Issue 3
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Volume 1, Issue 2
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Volume 1, Issue 1
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Description：
As artificial intelligence (AI) and digital transformation continue to reshape industries, economies, and everyday life, their societal implications have become a critical area of study. This special issue seeks to explore the multifaceted impact of AI and digital technologies on employment, governance, ethics, education, healthcare, and social equity. We invite researchers, policymakers, and industry professionals to contribute original research and case studies that examine both the benefits and challenges of technological advancements in society.
Description：
The integration of emerging technologies, such as blockchain, the Internet of Things (IoT), and renewable energy innovations, plays a crucial role in achieving sustainable development goals (SDGs). This special issue aims to explore how technological advancements can drive economic, environmental, and social sustainability. We welcome theoretical and empirical research that addresses how new technologies contribute to sustainable industries, resource efficiency, and global climate goals.
