题目：Representation Learning On Heterogeneous Graphs
主讲人：Nitesh Chawla, the Frank M. Freimann Professor of Computer Science and Engineering, director of the research center on network and data sciences, University of Notre Dame
日期：2019年5月27日（星期一）
时间：下午2:30 - 3:30
地点：国家超级计算广州中心1楼会议室101
主持：陶钧 副教授
摘要：Representation learning on graphs is providing alternatives to feature engineering for designing feature vectors for the learning algorithms. The goal of representation learning is to embed nodes or (subgraphs by learning a mapping to a lower dimensional vector space. However, heterogeneous graphs present their own set of challenges for representation learning given the multi-typed nodes and/or links. In addition, to the heterogeneity in node and link types, the content associated with the nodes presents yet another challenge. In this talk, I'll discuss our work on representation learning in heterogeneous graphs that leverages the network structure, as well as content aware representation learning that incorporates the content of the nodes in addition to the network or graph structure.
个人介绍：Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering, and director of the research center on network and data sciences (iCeNSA) at the University of Notre Dame. He started his tenure-track career at Notre Dame in 2007, and quickly advanced from assistant professor to a chaired full professor position in nine years. He has published over 200 papers, with more than 20,000 citations and h-index of 54. He is the recipient of several awards including 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, National Academy of Engineering New Faculty Fellowship, 1st Source Bank Technology Commercialization Award. He is a twice recipient of Outstanding Teaching Award at Notre Dame. His papers have received several outstanding paper nominations and awards at top conferences and journals, including being featured on journal cover page. In addition, his students are also recipient of several honors and recent honors include a runner up for the Outstanding Dissertation Award at KDD’17 and the second best research award at the ACM Student Research Competition at Grace Hopper Conference, 2017. In recognition of the societal and impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is founder of Aunalytics, a data science software and solutions company.