학과 세미나 및 콜로퀴엄

구분 학과 세미나/콜로퀴엄
분류 대수기하학
제목 Introduction to vector representation of graphs and machine learning
Abstract In this talk, we introduce a various methods of representations of graphs which are mathematical objects expressing a variety of non-Euclidean data such as Molecules, social networks, genes, transportation networks, citation networks of papers and so on. Graph representation as a Euclidean vector is inevitable in machine learning for classifications for graphs which is closely related to graph neural network in computer science. We would like to introduce a few literatures, Weisfeiler-lehman algortihm, random walks, graph convolution whci are commonly used techniques and explain the result of combining them with topological invarints of graphs
일시 2022-06-10 (Fri) / 11:00 ~ 12:00
장소 자연과학동(E6-1) Room 4415호
강연언어 미정
강연자성명 우영호
강연자소속
강연자홈페이지
기타정보 https://sites.google.com/view/mwagaag
초청인 곽시종
URL
담당자 김윤옥
연락처 5745