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KGA Slides

Here you find the slides of the lecture.
Date Chapter/Topic Slides
09.10.2018 01. Motivation 01-motivation.pdf
16.10.2018 02. Semantic Knowledge Graphs 02-triplestores.pdf
30.10.2018 03. Property Graph Databases 03-propertygraphdatabases.pdf
06.11.2018 04. Statistical Relational Learning 04-statistcalrelationlearning.pdf
13.11.2018 05. Tensor-Factorization Methods 05-tensors.pdf
28.11.2018 06. Stochastic Gradient Descent and Alternating Least Squares 06-sgd_als.pdf
04.12.2018 07. (Feed Forward) Neural Networks 07-neuralnetworks.pdf
11.12.2018 08. Neural Networks for Knowledge Graphs analysis 08-nnsforkga.pdf
18.12.2018 09. Latent Distance and Graph Feature models 09-latentdisctancemodels.pdf
15.01.2019 10. Training Statistical Relational Learning Models 10-trainingsrlmodels.pdf
22.01.2019 11. Markov Logic Networks 11-mlns.pdf
29.01.2019 12. Summary 12-summary.pdf
teaching/lectures/kga/2018/slides.txt · Last modified: 2019/01/30 09:46 by Hamed Shariat Yazdi

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