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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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Seminar Course: Advanced topics in Graph Learning (5 ECTS)

Summer Semester 2023, TU München

Correspondence

Please forward any queries related to the seminar to: graphlearning-ss23@vision.in.tum.de.

Course Registration

Assignment to the lab is done via the matching system. In addition to applying to the matching system please remember to also send in your application via e-mail at the latest by 14 February 2023.

The preliminary meeting will take place on 2nd February 2023 at 10 am via https://tum-conf.zoom.us/j/69836253691?pwd=cGl6R2FzdEt2RElydWlCMk40NEliZz09. We will post the slides here after the meeting in case you cannot attend, but still interested to apply. Attending the preliminary meeting is not obligatory, but highly encouraged. UPDATE: The preliminary meeting slides (ss23) have been uploaded.

Course Content

The field of graph learning has recently witnessed a significant surge in interest with with emerging applications of networks on graph structured data ranging from topics in drug discovery over traffic control to guiding mathematicians intuition in the process of postulating new conjectures and and proving new theorems. This seminar focuses on recent research and emergent paradigms in graph learning. Possible presentation topics range from mathematical foundations to architectures tailored to specific applications such as e.g. molecular property predictions.

Prerequisites
  • Good knowledge of basic mathematics such as linear algebra, analysis, probability and numerics, graph theory etc. is required.
  • Participation in at least one of the offered deep learning lectures at TUM is highly recommended. For e.g. 1, 2, 3 etc.
Structure

The seminar will take place in a block format on 4th and 5th April completely online via Zoom. After the kick-off meeting in early March, the students will be given to choose from a list of recent works in graph learning and present their findings as a short presentation during the seminar. Afterwards, they will be required to compile their results as a short report to be submitted towards the end of the semester.

Material

The list of available papers can be found here (password protected).

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More