Jiamou Liu (https://www.linkedin.com/in/jiamou-liu-b571a412/) graduated with a PhD in Computer Science for Waipapa Taumata Rau in 2010, has held academic positions at institutions including the University of Leipzig in Germany and AUT in Aotearoa, and currently holds a position as a Senior Lecturer at the School of Computer Science at Waipapa Taumata Rau. He has also served as a Program Committee member for leading conferences in the field, including AAAI, IJCAI, and AAMAS. His research is focused on a variety of areas, including data mining, multi agent systems, and natural language processing and has been published in prestigious venues such as NeurIPS, ICML, and ACL.
Jiamou discusses how graph analysis is an increasingly important tool in modern data science, providing powerful ways to represent and analyse complex structured data. This includes recent advances in graph analysis, including data mining and social network analysis, as well as the use of Graph Neural Networks (GNNs) for tasks such as node classification and link prediction. Jiamou also explores recent techniques in contrastive learning for graphs and data augmentation for graphs, which have enabled significant improvements in the accuracy and robustness of graph-based models.
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