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Knowledge Graph Analysis - Lecture WS2018/19

KGA - General Information

Important Note:

The exercises of the KGA lecture will start at 07.11.2018.

Please register on the TVS system latest till 02.11.2018 and select your preferred slot for the exercises. https://puma.cs.uni-bonn.de

Mailing List

Please subscribe to the following mailing list with your uni mail address (it needs to end with “uni-bonn.de”):

https://lists.iai.uni-bonn.de/mailman/listinfo.cgi/vl-kga-ws18

Lecture

Time Tue, 12:15 - 13:45
Date Weekly, from October 9 to January 29 according to the Schedule of the Lecture (see this page)
Place CP1-HSZ / Hörsaal 4 (Address: Endenicher Allee 19a, 53115 Bonn)
Language English
Lecturer Dr. Hamed Shariat Yazdi, Prof. Jens Lehmann

Exercise

Time and Place Please register on the TVS system latest till 02.11.2018 and select your preferred slot for the exercises. https://puma.cs.uni-bonn.de
Starting Date 07.11.2019
Place All exercises take place at Seminarraum 1.047, Informatik III (Address: Endenicher Allee 19a, 53115 Bonn)
Language English
Tutors Mehrdad Bozorg, Asif Kahn, Firas Kassawat

Please subscribe to one of the groups under https://puma.cs.uni-bonn.de

Please join any group as you see fit - if your group is large (>12) then consider moving to a different slot such that you get more individual supervision.

Seminar

In this seminar students can deepen the knowledge gained in the lecture by individually working
on recently published research papers and presenting them in the end of the semester.

Time Tuesdays 10:15 - 11:45
Dates First meeting: October 9
Place Seminarraum 1.047, Informatik III (Address: Endenicher Allee 19a, 53115 Bonn)
Language English
Lecturer Dr. Hamed Shariat Yazdi, Prof. Jens Lehmann

Contents

This course gives an Introduction to Knowledge Graph Analysis.

Schedule of the Lecture

09.10.2018 Motivation
16.10.2018 RDF Databases
23.10.2018 - no lecture -
30.10.2018 Property Graph Databases
06.11.2018 Statistical Relational Learning
13.11.2018 Tensor-Factorization Methods
20.11.2018 - no lecture -
27.11.2018 Alternating Least Squares and Stochastic Gradient Descent
04.12.2018 Introducing Neural Networks
11.12.2018 Neural Networks for KG analysis
18.12.2018 Latent Distance and Graph Feature models
25.12.2018 - public holiday -
01.01.2019 - public holiday -
08.01.2019 - no lecture -
15.01.2019 Training SRL Models
22.01.2019 Markov Logic Networks
29.01.2019 Summary

Teaching Staff

Who E-mail Tel Office
Dr. Hamed Shariat Yazdi shariat -at- cs uni-bonn de (0228) 73-4506 1.066

Contact

teaching/lectures/kga/2018/start.txt · Last modified: 2018/10/27 13:08 by Hamed Shariat Yazdi

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