[Crossnet] Fwd: Invitation to Join “Machine Learning on Graphs” Course Study Group

[Henk Wymeersch]

Perhaps interesting for some of you.

Henk


Begin forwarded message:

From: Javad Aliakbari <javada at chalmers.se>
Subject: Re: Invitation to Join “Machine Learning on Graphs” Course Study Group
Date: 8 January 2025 at 14:54:55 GMT+1
To: Adam Lilja <adam.lilja at chalmers.se>, Liping Bai <lipingb at chalmers.se>, Alvin Combrink <combrink at chalmers.se>, Anand Ganesan <anandg at chalmers.se>, Filip Rydin <filipry at chalmers.se>, Bingcheng Chen <chenbin at chalmers.se>, Isabel Ljungberg <isalju at chalmers.se>, Arsham Gholamzadeh Khoee <khoee at chalmers.se>, Kaan Okumus <okumus at chalmers.se>, Mehdi Sattari <mehdi.sattari at chalmers.se>, Hoor Jalo <hoor at chalmers.se>, Roman Naeem <nroman at chalmers.se>, David Hagerman Olzon <david.hagerman at chalmers.se>, Wenhao Lu <wenhaol at chalmers.se>, Leyla Sadighi <sadighi at chalmers.se>
Cc: Alexandre Graell I Amat <alexandre.graell at chalmers.se>, Henk Wymeersch <henkw at chalmers.se>

Dear Students,

I hope this email finds you well. Attached to this email, you will find the course memo for “Machine Learning on Graphs”. It contains important details about the course schedule, content, and organization.

The course is set to start on Wednesday, January 22, 2025, and the default time for our discussion sessions is Wednesdays from 9:30 to 11:30. please note that adjustments may be applied during the course.

If you are receiving this email, we assume that you have signed up for the course. However, if the schedule conflicts with your calendar or you decide not to participate, please let us know as soon as possible.

Feel free to reach out if you have any questions or concerns regarding the course or the memo.

Looking forward to learning together!

Best regards,
Javad



From: Javad Aliakbari <javada at chalmers.se<mailto:javada at chalmers.se>>
Date: Wednesday, 16 October 2024 at 13:10
To: E2 Phd Students <phdstudents.e2 at chalmers.se<mailto:phdstudents.e2 at chalmers.se>>, E2 CAOS Communication systems <all-cs.e2 at chalmers.se<mailto:all-cs.e2 at chalmers.se>>, Adam Breitholtz <adambre at chalmers.se<mailto:adambre at chalmers.se>>, Firooz Shahriari Mehr <firooz at chalmers.se<mailto:firooz at chalmers.se>>, Arsham Gholamzadeh Khoee <khoee at chalmers.se<mailto:khoee at chalmers.se>>
Cc: Alexandre Graell I Amat <alexandre.graell at chalmers.se<mailto:alexandre.graell at chalmers.se>>
Subject: Invitation to Join “Machine Learning on Graphs” Course Study Group

Dear PhD Students,

I hope this message finds you well. I’m writing to invite you to join me in taking part in a study group for the “Machine Learning on Graphs” online course from Stanford University. This is a great opportunity for us to explore graph learning and its real-world applications together.

Here are some key details about the course:

                •              Course Title: Machine Learning on Graphs (CS224W)
                •              University: Stanford University
                •              Course Link: Course website<https://snap.stanford.edu/class/cs224w-2023/>
                •              YouTube Playlist: Course lectures<https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn>
                •              Examiner: Alexandre Graell i Amat
                •              Credits: 7.5 credits

Plan:
We will be covering the first 8 weeks of the course (exact details to be determined). The plan is to watch the lecture videos on YouTube and then meet as a group to discuss the content. Our discussions will take place in class with Àlex’s participation.

Final Exam:
Instead of a traditional exam, there will be a project focused on real-world graph-structured data. More details about the project will be discussed later in the course.

Start Date:
We aim to start around January 20th, so please let me know if you are interested as soon as possible.

If you have any questions, don’t hesitate to contact me. Also, feel free to send this email to anyone who might be interested.

Best regards,
Javad
Chalmers University of Technology


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