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KGA Slides
Here you find an outline of the lecture (order and topics might be adopted during the semester). Slides form last year are linked and will be updated shortly before the upcoming class.
This page contains lecture material from last year, which will updated during the course.
| Date | Chapter/Topic | Slides (and date of last update) |
|---|---|---|
| 10.10.17 | 01. Motivation | 01-motivation.pdf |
| 25.11.17 | 02. RDF Databases | 02-rdfdatabases.pdf |
| 31.10.17 | - public holiday - | |
| 07.11.17 | 03. Property Graph Databases | 03-propertygraphdatabases.pdf |
| 14.11.17 | 04. Statistical relational learning | 04-statistcalrelationlearning.pdf |
| 21.11.17 | 05. Tensor-Factorization methods | 05-tensors.pdf |
| 28.11.17 | 06. Alternating Least Squares and Stochastic Gradient Descent | 06-sgd_als.pdf |
| 05.12.17 | ||
| 12.12.17 | 07. Introducing Neural Networks | 07-neuralnetworks.pdf |
| 19.12.17 | 08. Neural Networks for KGA | 08-nnsforkga.pdf |
| 09.12.17 | 09. Latent Distance and Graph Feature models | 09-ldandgfmodels.pdf |
| 16.01.18 | 10. Training SRL Models | 10-trainingsrlmodels.pdf |
| 23.01.18 | 11. Markov Logic Networks | 11-mlns.pdf |
| 30.01.18 | 12. Summary | 12-summary.pdf |
| 06.02.18 |
The Slides of the talk of our invited speaker Paul Groth can be found here:
| Date | Chapter/Topic | Slides (and date of last update) |
|---|---|---|
| 07.02.17 | Knowledge Graph Analysis in Practice | kg-analysis-elsevier-feb82017.pptx |
teaching/lectures/kga/2017/slides.1525831170.txt · Last modified: 2018/05/09 01:59 by 127.0.0.1
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