space
Section for Cognitive Systems
DTU Compute

02901 Advanced Topics in Machine Learning: Graph Representation Learning

August 22-26, 2022

Description

The course consists of five days (Monday-Friday) of lectures and exercises. The lectures will cover theoretical and practical aspects of Graph Representation Learning. Technical aspects, programming and application of the developed concepts will be explored in tutorials and exercises. The course (2.5 ECTS points) is passed by handing in a small report on one of the topics covered in the course. For further course details click here.

Course programme and speakers

TBA

Requirements

General understanding of machine learning, statistical modeling, mathematics and computer science. Programming experience, ideally in Python. For the course you are required to bring your own laptop computer.

Registration

To register please send an email to Anne Ringsted annri@dtu.dk with your CV (maximum 2 pages). The CV has to be received no later than 19th of June. We will notify applicants regarding acceptance to the summer school early July

For academics (masters and PhD students) there is no registration fee for the course. PhD students outside of DTU have to further register here.

For all other participants a course fee of DKK 8250 will be charged and apart from signing up additional registration must be completed here.

Links to previous courses

2021 version of 02901 Advanced Topics in Machine Learning

2020 version of 02901 Advanced Topics in Machine Learning

2019 version of 02901 Advanced Topics in Machine Learning

2018 version of 02901 Advanced Topics in Machine Learning

2017 version of 02901 Advanced Topics in Machine Learning

2016 version of 02901 Advanced Topics in Machine Learning

2015 version of 02901 Advanced Topics in Machine Learning

2014 version of 02901 Advanced Topics in Machine Learning

For further information, please contact:

DTU Compute, Section for Cognitive Systems, Building 321.
DTU logospace
space