학과 세미나 및 콜로퀴엄

구분 학과 세미나/콜로퀴엄
분류 응용 및 계산수학 세미나
제목 Self-Supervised Graph Neural Networks
Abstract This talk reviews two notable papers in self-supervised graphical neural networks; they are "Graph contrastive learning with augmentations" presented at NeurIPS 2020 and "Contrastive multi-view representation learning on graphs" presented at ICML 2020. This will be an introduction of self-supervised graphical neural networks that has emerged as one of the hottest research fields in artificial intelligence, which requires mathematical methodology across all fields of mathematics, including graph theory, algebra, topology, analysis, and geometry.
일시 2023-03-03 (Fri) / 11:00 ~ 12:00 ** 날짜에 유의하세요. **
장소 Rm 2216, E2-1
강연언어 한국어
강연자성명 최우진
강연자소속 NIMS 방문교수(카이스트 명예교수)
강연자홈페이지
기타정보
초청인 김동환
URL
담당자
연락처