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The Graph convolutional Networks (GCN) with Persistent Homology and its application 1/4

October 29, 2021 @ 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

(1) GCN and its Application.
We introduce the GCN by reviewing the monumental paper ” Semi-Supervised Classification with the Graph Convolutional Networks”, ICLR 2018 by Kipf and Welling. We are going to much detail the algorithm of message aggregation and passings and learning processes.
Code ; https://github.com/tkipf/gcn

(2) Graph Attention networks(GAT) and its Applications. Bengio et al improved greatly the capability of GCN by employing the Attention mechanism to GCN on the paper,” Graph Attention Networks, ICLR,2018. We review closely the derivation of algirithms, learning processes and discuss its super performance.
Code; https://github.com/PetarV-/GAT

Details

Date:
October 29, 2021
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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