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PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20211210T150000
DTEND;TZID=Asia/Seoul:20211210T170000
DTSTAMP:20260503T053357
CREATED:20211209T210000Z
LAST-MODIFIED:20211209T112916Z
UID:5122-1639148400-1639155600@www.ibs.re.kr
SUMMARY:The Graph convolutional Networks (GCN) with Persistent Homology and its applications 3/4
DESCRIPTION:Neural Networks with the Persistent Diagrams and Graph Classification. We introduce the first paper connecting persistent diagrams to the Neural Networks by Carrier et al\,” A neural Network Layer for Persistent Diagrams and New Graph Topological Signatures\, 2019\, arXiv. We are going to analyse the End-to-End algorithm and learning processes and applications.\nCode; tensorflow at https:// github.com/MathieuCarriere/perslay
URL:https://www.ibs.re.kr/bimag/event/2021-12-10/
LOCATION:B378 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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