Knowledge Graph Lab

Signature course at the center of our research topic:

Knowledge Graphs

Our signature course on Knowledge Graphs (KGs), an important topic bringing together Databases, Artificial Intelligence (AI), Machine Learning (ML) and Data Science - available both as 6 ECTS and 3 ECTS: Knowledge Graphs (192.194 - 6 ECTS; 192.116 - 3 ECTS ).

Knowledge Graphs Course
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As a teaser, some of the things you will learn about there:

Representations

Logical and ML-based representations for KGs.

  • KG Embeddings

    Widely-applied, large family of ML models.

  • Logical Knowledge in KGs

    Highly expressive, diverse family of logical models.

  • Graph Neural Networks

    Using the KG structure as a neural network.

  • Data Models

    Overview of data models in different communities.

Further teaching:

Topic Courses

  • Research and Career Planning for Doctoral Students
  • Introduction to Semantic Systems
  • Semi-structured Data
  • Generative AI

General Courses

  • Bachelor Thesis for Informatics and Business Informatics
  • Project in Computer Science 1 and 2 (resp. Project in Logic and AI 1 and 2)
  • Seminar for Master Students in Data Science
  • Interdisciplinary Project in Data Science
  • Doctoral and Master Students Seminar

About the Knowledge Graph Lab at TU Wien

The Knowledge Graph Lab at TU Wien is part of the Database and Artificial Intelligence (DBAI) group at the Institute of Logic and Computation of the Faculty of Informatics. It is funded by the Vienna Science and Technology Fund (WWTF) under the Vienna Research Group scheme - "Vienna Research Group on Scalable Reasoning in Knowledge Graphs" (VRG18-013).

TU Informatics
DBAI
WWTF

Contact

For inquiries please contact Dr. Emanuel Sallinger, head of the Knowledge Graph Lab at TU Wien, at <sallinger@dbai.tuwien.ac.at>.