Hi everyone, nice to meet you all!
My name is Shenyang(Andy) Huang, a PhD student at McGill / Mila working with prof. Reihaneh Rabbany and prof. Guillaume Rabusseau on temporal graph learning and graph representation learning. My PhD thesis focusing on understanding how temporal graphs change over time and how to correctly benchmark ML methods for large scale temporal graphs. You can find more about my research on my personal website: https://www.cs.mcgill.ca/~shuang43/
Last summer, I have interned at Valence working with prof. Dominique Beaini on building Graphium. I am also quite interested in molecular learning and identifying how GNN models can help unlock the potential of molecules.
I am also an organizing of the NeurIPS 2023 Temporal Graph Learning workshop (Submission Deadline: Oct 3rd, AoE): https://sites.google.com/view/tglworkshop-2023/home. I also organize the weekly temporal graph learning reading group, happening each Thursday at 11am EDT: https://www.cs.mcgill.ca/~shuang43/rg.html
If you want to discuss more about temporal graph learning or graph representation learning, feel free to reach out to me here or by email: [email protected]
Thanks and have a nice day!
Best,
Andy Huang