better source for graphs
This commit is contained in:
Simon Klüttermann
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"t1":"Hopfield Networks and Boltzmann Machines",
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"e1":"Chapters 6.1-6.4 and briefly summarize 1-2 applications (see for example chapter 6.5) or implement a simple model",
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"t2":"Graph Machine Learning",
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"e2":"Chapter 2.7 + 1 Paper, for example ''Graph neural networks: a review of methods and applications'' by Zhou at al 2018"
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"e2":"Chapter 2.7 + 1 other source, my suggestions: distill.pub on GNN"
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}
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slides.blg
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slides.blg
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[0] Config.pm:312> INFO - This is Biber 2.15
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[0] Config.pm:315> INFO - Logfile is 'slides.blg'
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[53] biber:330> INFO - === So Okt 17, 2021, 14:58:37
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[64] Biber.pm:415> INFO - Reading 'slides.bcf'
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[115] Biber.pm:952> INFO - Found 0 citekeys in bib section 0
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[125] bbl.pm:651> INFO - Writing 'slides.bbl' with encoding 'UTF-8'
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[126] bbl.pm:754> INFO - Output to slides.bbl
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[126] Biber.pm:128> INFO - WARNINGS: 1
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[109] biber:330> INFO - === So Okt 17, 2021, 20:10:46
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[128] Biber.pm:415> INFO - Reading 'slides.bcf'
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[212] Biber.pm:952> INFO - Found 0 citekeys in bib section 0
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[220] Utils.pm:395> WARN - The file 'slides.bcf' does not contain any citations!
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[229] bbl.pm:651> INFO - Writing 'slides.bbl' with encoding 'UTF-8'
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[230] bbl.pm:754> INFO - Output to slides.bbl
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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021/Arch Linux) (format=lualatex 2021.6.8) 17 OCT 2021 14:58
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This is LuaHBTeX, Version 1.13.0 (TeX Live 2021/Arch Linux) (format=lualatex 2021.6.8) 17 OCT 2021 20:10
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system commands enabled.
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**slides
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(./slides.tex
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> {german/Localnumeral} => {polyglossia@C@localnumeral}.
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(/usr/share/texmf-dist/tex/latex/biblatex/lbx/german.lbx
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File: german.lbx 2020/12/31 v3.16 biblatex localization (PK/MW)
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avail lists: 1:3,2:430,3:218,4:351,5:181,6:49,7:2276,8:9,9:444,10:28,11:138,1
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2:1
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136i,20n,154p,819b,2327s stack positions out of 5000i,500n,10000p,200000b,80000s
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</usr/share/texmf-dist/fonts/opentype/public/libertinus-fonts/LibertinusSans-Bol
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d.otf></usr/share/texmf-dist/fonts/opentype/public/libertinus-fonts/LibertinusSa
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ns-Regular.otf>
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Output written on slides.pdf (17 pages, 393867 bytes).
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Output written on slides.pdf (17 pages, 393714 bytes).
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PDF statistics: 210 PDF objects out of 1000 (max. 8388607)
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\large Chapters 6.1-6.4 and briefly summarize 1-2 applications (see for example chapter 6.5) or implement a simple model\\\\
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\Large \textbf{Topic2:} Graph Machine Learning\\
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\large Chapter 2.7 + 1 Paper, for example ''Graph neural networks: a review of methods and applications'' by Zhou at al 2018\\
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\large Chapter 2.7 + 1 other source, my suggestions: distill.pub on GNN\\
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\end{frame}
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