Graph Kernels and Embeddings: A Brief Overview
主 讲 人 ：Manohar Kaul 博士
活动时间：06月20日19时30分
地 点 ：理科群1号楼D-203室
讲座内容：
Graph representation learning is an important taskwith several applications in different domains. The challenge in this domain isto find a way to encode a graph structure so that it can be easily exploited bymachine learning models. Traditional machine learning approaches used userdefined methods to extract graph properties, whereas recent methodsautomatically learn graph structural properties as embeddings. The talk willcover variants of graph kernels and graph embedding methods along with theapplications (node classification and link prediction).
主讲人介绍：
Dr. Manohar Kaul is an Assistant Professor in theDepartment of Computer Science and Engineering at the Indian Institute ofTechnology Hyderabad, India. He won the Outstanding Academic Achievement Award from AustralianComputer Society in 2000. His research paper "Building Accurate 3D SpatialNetworks to Enable Next Generation Intelligent Transportation Systems",won the Best Paper Award of Mobile Data Management in 2013. In 2017—2018, he visitedInstitute of Statistical Mathematics and Shinshu University, Japan. He haspublished conference papers in top-tier venues of databases and machinelearning. His research interests include Machine Learning, Applied AlgebraicTopology, and Spatial / Spatio-Temporal Databases.
