sung-won-kim/teg

The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.

Hi, I'm Sungwon Kim. 👋

Hi, I’m an Ph.D. student in the Graduate School of Data Science at KAIST (Data Science & Artificial Intelligence Laboratory (DSAIL)), led by Prof. Chanyoung Park.

I am primarily focused on data mining and machine learning, with a particular interest in graph data analysis. My research is driven by exploring data-efficient methods that not only leverage the powerful performance of deep learning but also maintain applicability to training and inference time when applied to real-world scenarios.

Interest

• Graph Neural Networks
• Data-Efficient Deep Learning
• Meta Learning
• Anything related to the tasks that can be addressed in real-world scenarios!

Homepage🏠

teg's Issues

Missing “final_result” in argments

Thanks for your work!
Only need to add it in "argument.py"

By the way, as I'm a beginner, I'd like to know how to generate such pictures.
Thank you very much!