English Version



Graph Kernels and Embeddings: A Brief Overview

主 讲 人 :Manohar Kaul    Assistant Professor


地      点 :理科群1号楼D-203室


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).


Dr. Manohar Kaul is an Assistant Professor in theDepartment of Computer Science and Engineering at the Indian Institute ofTechnology Hyderabad, India.(印度海得拉巴理工学院) 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, hevisited Institute of Statistical Mathematics and Shinshu University, Japan. Hehas published conference papers in top-tier venues of databases and machinelearning. His research interests include Machine Learning, Applied AlgebraicTopology, and Spatial / Spatio-Temporal Databases.

发布时间:2019-06-19 11:30:24

版权所有www4288com新萄京赌场    冀ICP备18011017号-3  

冀公网安备 13010802000630号

地址:河北省石家庄市南二环东路20号 邮编:050024 制作维护:www4288com新萄京赌场计算机网络中心
XML 地图 | Sitemap 地图