Lecture / Seminar
| 일 일 일 Sun | 월 월 월 Mon | 화 화 화 Tue | 수 수 수 Wed | 목 목 목 Thu | 금 금 금 Fri | 토 토 토 Sat |
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MINDS seminar ㅣSpecial Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications
| 분야Field | |||
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| 날짜Date | 2023-03-15 ~ 2023-03-17 | 시간Time | 17:00 ~ 18:00 |
| 장소Place | Math Bldg. 404 & Online streaming | 초청자Host | |
| 연사Speaker | Woojin Choi | 소속Affiliation | KAIST |
| TOPIC | MINDS seminar ㅣSpecial Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications | ||
| 소개 및 안내사항Content | Special Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications Abstract: We are going to review a series of seminal papers (2019-2022) that have been building up for the basic concepts and algorithms for the Self-Supervised Learning on graph neural networks which is now one of the hottest research area in A.I. We start with "SimCLR(ICML 2020)" continue to cover "CPC(2018,arXiv, in progress)," BYOL(NeurIPS 2020)", "GraphCL(NeurIPS2020), "CMVRL(ICML2020)", PPNP&APPNP(ICLR 2019), and "GRAND(ICML2021)" including MarkovGNN(WWW2022 Companion)". These papers are going to suggest many funddamental questions about SSL on graphs which cloud be reduced to the frameworks of Graph Theory, Algebra, Topology, Geometry and Analysis along with Probability and Statistics.
http://minds.postech.ac.kr/?uid=89&mod=document&pageid=1#kboard-document https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09 ID : 688 896 1076 / PW : 54321
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| 학회명Field | MINDS seminar ㅣSpecial Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications | ||
|---|---|---|---|
| 날짜Date | 2023-03-15 ~ 2023-03-17 | 시간Time | 17:00 ~ 18:00 |
| 장소Place | Math Bldg. 404 & Online streaming | 초청자Host | |
| 소개 및 안내사항Content | Special Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications Abstract: We are going to review a series of seminal papers (2019-2022) that have been building up for the basic concepts and algorithms for the Self-Supervised Learning on graph neural networks which is now one of the hottest research area in A.I. We start with "SimCLR(ICML 2020)" continue to cover "CPC(2018,arXiv, in progress)," BYOL(NeurIPS 2020)", "GraphCL(NeurIPS2020), "CMVRL(ICML2020)", PPNP&APPNP(ICLR 2019), and "GRAND(ICML2021)" including MarkovGNN(WWW2022 Companion)". These papers are going to suggest many funddamental questions about SSL on graphs which cloud be reduced to the frameworks of Graph Theory, Algebra, Topology, Geometry and Analysis along with Probability and Statistics.
http://minds.postech.ac.kr/?uid=89&mod=document&pageid=1#kboard-document https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09 ID : 688 896 1076 / PW : 54321
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| 성명Field | MINDS seminar ㅣSpecial Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications | ||
|---|---|---|---|
| 날짜Date | 2023-03-15 ~ 2023-03-17 | 시간Time | 17:00 ~ 18:00 |
| 소속Affiliation | KAIST | 초청자Host | |
| 소개 및 안내사항Content | Special Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications Abstract: We are going to review a series of seminal papers (2019-2022) that have been building up for the basic concepts and algorithms for the Self-Supervised Learning on graph neural networks which is now one of the hottest research area in A.I. We start with "SimCLR(ICML 2020)" continue to cover "CPC(2018,arXiv, in progress)," BYOL(NeurIPS 2020)", "GraphCL(NeurIPS2020), "CMVRL(ICML2020)", PPNP&APPNP(ICLR 2019), and "GRAND(ICML2021)" including MarkovGNN(WWW2022 Companion)". These papers are going to suggest many funddamental questions about SSL on graphs which cloud be reduced to the frameworks of Graph Theory, Algebra, Topology, Geometry and Analysis along with Probability and Statistics.
http://minds.postech.ac.kr/?uid=89&mod=document&pageid=1#kboard-document https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09 ID : 688 896 1076 / PW : 54321
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| 성명Field | MINDS seminar ㅣSpecial Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications | ||
|---|---|---|---|
| 날짜Date | 2023-03-15 ~ 2023-03-17 | 시간Time | 17:00 ~ 18:00 |
| 호실Host | 인원수Affiliation | Woojin Choi | |
| 사용목적Affiliation | 신청방식Host | KAIST | |
| 소개 및 안내사항Content | Special Lecture on Graph Neural Networks -Self-Supervised Graph Neural Networks and Applications Abstract: We are going to review a series of seminal papers (2019-2022) that have been building up for the basic concepts and algorithms for the Self-Supervised Learning on graph neural networks which is now one of the hottest research area in A.I. We start with "SimCLR(ICML 2020)" continue to cover "CPC(2018,arXiv, in progress)," BYOL(NeurIPS 2020)", "GraphCL(NeurIPS2020), "CMVRL(ICML2020)", PPNP&APPNP(ICLR 2019), and "GRAND(ICML2021)" including MarkovGNN(WWW2022 Companion)". These papers are going to suggest many funddamental questions about SSL on graphs which cloud be reduced to the frameworks of Graph Theory, Algebra, Topology, Geometry and Analysis along with Probability and Statistics.
http://minds.postech.ac.kr/?uid=89&mod=document&pageid=1#kboard-document https://us06web.zoom.us/j/6888961076?pwd=ejYxN05jNmhUa25PU2JzSUJvQ1haQT09 ID : 688 896 1076 / PW : 54321
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Admin
·
2023-03-06 17:32 ·
조회 226 
