From Data Science to Graph Learning

Speaker:  Feng Xia – Melbourne, VIC, Australia
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


As data (especially big data) become the new oil, data science has recently attracted intensive and growing attention from industry, government, and academia. Data science focuses on deriving valuable knowledge from (raw) data in an efficient and intelligent manner, with the purpose of prediction, exploration, understanding, and/or intervention. It encompasses the set of methods and tools that enable data-driven activities in business, healthcare, government, scientific research, and education, etc. With continuous penetration of artificial intelligence and machine learning technologies, graphs are gaining progressive popularity. Graph learning techniques have been proved to be effective in discovering unknown knowledge from data. Graph learning is explored in many applications such as vertex classification, link prediction, recommender systems, and fraud detection. This talk will look into recent advances in this field, and discuss relevant opportunities and challenges.

About this Lecture

Number of Slides:  92
Duration:  100 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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