在信息爆炸的当今时代，如何在海量数据中挖掘出深层次的联系，已经成为学术界与工业界共同面临的挑战。近期，香港大学数据智能实验室（Data Intelligence Lab）的黄超教授团队，联合圣母大学等学术机构的专家，发布了一篇关于图机器学习与大模型的深度解析文章，为这一领域的研究提供了新的视角与方法。
黄超教授团队的最新研究，围绕着如何利用大模型在图机器学习领域探索“未知边界”的主题，对这一领域的前沿进展进行了全面的综述。文章揭示了图机器学习在复杂网络结构分析中的重要性，以及如何通过大模型提升图数据的处理能力与分析深度。
图，作为描述现实世界复杂关系的有效工具，其在人工智能领域中的应用愈发广泛。香港大学数据智能实验室在此领域的研究涵盖了大语言模型、图神经网络、信息检索、推荐系统、时空数据挖掘等多个方面，如通用图大语言模型 GraphGPT、智慧城市大语言模型 UrbanGPT、可解释大语言模型推荐算法 XRec 等。这些研究不仅展示了图机器学习在不同场景下的应用潜力，也体现了香港大学数据智能实验室在该领域内的创新与领先地位。
通过深入分析大模型在图机器学习领域的应用与挑战，该研究为未来的研究提供了宝贵的参考与启示，有助于推动图机器学习技术的进一步发展，以及在实际应用中的有效落地。对于希望在这一领域内进行学术研究或技术创新的个人与团队而言，该文章的发布无疑是一次重要的学术交流与传播的机会。如果您有优秀的工作想要分享，欢迎投稿至AIxiv专栏，与全球的学术与工业界同仁共同促进学术交流与技术进步。
此次研究与综述的发布，不仅展示了香港大学数据智能实验室在人工智能与数据挖掘领域的深厚研究实力，也为解决信息爆炸时代深层次联系的探寻提供了新的思路与工具。在未来的学术与工业合作中，这一领域的研究有望产生更多创新性的成果，为人类社会的发展带来积极的影响。
英语如下：
News Title: “Hong Kong University Team Unveils Exploration of Uncharted Territories in the Domain of Graph Machine Learning with Large Models”
Keywords: AIxiv Column, Large Models, Graph Machine Learning
News Content: In the era of information overload, how to mine deep connections within vast datasets has become a challenge faced by both academia and industry. Recently, Professor Huang Chao’s team at the Data Intelligence Lab of the Hong Kong University, in collaboration with experts from academic institutions such as the University of Notre Dame, published a comprehensive analysis on large models and graph machine learning. This article offers new perspectives and methodologies for research in this field.
Professor Huang Chao’s team’s latest research focuses on utilizing large models to explore the “unknown boundaries” in the field of graph machine learning. The article provides a comprehensive review of the latest advancements in the field, highlighting the significance of graph machine learning in the analysis of complex network structures and how large models can enhance the processing and analytical capabilities of graph data.
Graphs, as effective tools for describing complex relationships in the real world, are increasingly utilized in the application of artificial intelligence. The research conducted by the Hong Kong University Data Intelligence Lab in this domain encompasses various aspects such as large language models, graph neural networks, information retrieval, recommendation systems, and time-space data mining, including applications like the General Graph Large Language Model GraphGPT, the Smart City Large Language Model UrbanGPT, and the Explainable Large Language Model Recommendation Algorithm XRec. These studies showcase the potential of graph machine learning in various scenarios and demonstrate the innovative leadership and research strength of the Hong Kong University Data Intelligence Lab in this field.
By deeply analyzing the application and challenges of large models in graph machine learning, this study provides valuable references and inspirations for future research, facilitating the further development of graph machine learning technologies and their effective implementation in practical applications. For individuals or teams interested in academic research or technological innovation in this field, the publication of this article is undoubtedly a significant opportunity for academic exchange and technological advancement.
The release of this research and review not only highlights the profound research capabilities of the Hong Kong University Data Intelligence Lab in artificial intelligence and data mining, but also offers new approaches and tools for exploring the underlying connections in the era of information overload. In the future, academic and industrial collaborations in this field are expected to produce more innovative outcomes, contributing positively to the development of human society.
If you have outstanding work to share, please submit it to the AIxiv column. This opportunity encourages global academic and industrial peers to promote academic exchange and technological progress together.
The release of this research and review not only showcases the depth of research capabilities of the Hong Kong University Data Intelligence Lab in artificial intelligence and data mining but also provides new perspectives and tools for exploring deep connections in the age of information explosion. In the future, research in this field is expected to generate more innovative results that positively impact the development of human society.
【来源】https://www.jiqizhixin.com/articles/2024-07-22-2
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