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The Graph convolutional Networks (GCN) with Persistent Homology and its applications 4/4

November 19 @ 3:00 pm - 5:00 pm KST

B378 Seminar room, IBS, 55 Expo-ro Yuseong-gu
Daejeon, 34126 Korea, Republic of
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Speaker

U jin Choi
KAIST

GCN with Persistent Diagrams.”Persistent Enhanced Graph Neural Network” (Zhao, Ye, Chen, Wang), AISTATS,2020, is the 1st work on combining GCN with Persistent Diagrams. We detail all procedures on architecture, algorithms and learning processes. We also discuss the difference between the work of Carriere et al and that of Zhao et al.

Details

Date:
November 19
Time:
3:00 pm - 5:00 pm KST
Event Category:

Organizer

Jae Kyoung Kim
Email:
jaekkim@kaist.ac.kr

Venue

B378 Seminar room, IBS
55 Expo-ro Yuseong-gu
Daejeon, 34126 Korea, Republic of
+ Google Map
IBS 의생명수학그룹 Biomedical Mathematics Group
기초과학연구원 수리및계산과학연구단 의생명수학그룹
대전 유성구 엑스포로 55 (우) 34126
IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
55 Expo-ro Yuseong-gu Daejeon 34126 South Korea
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