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It's really a nice work for "Link Prediction Based on Graph Neural Networks". I have a question when learning this papr,
This paper aims to learn automatically a “heuristic” that best explains the link formations. However, you select h only from {1, 2} and manually choose h according to the performance of AA or CN in some cases. So, I want to know how to understand such a automatically heuristic?
Looking forward to your reply, thanks for your time.
The text was updated successfully, but these errors were encountered:
jiuzhangio
changed the title
How to understand learn automatically “heuristic” and node labeling in code
How to understand learn automatically “heuristic”
Mar 30, 2024
Hi, Dr. Zhang
It's really a nice work for "Link Prediction Based on Graph Neural Networks". I have a question when learning this papr,
This paper aims to learn automatically a “heuristic” that best explains the link formations. However, you select h only from {1, 2} and manually choose h according to the performance of AA or CN in some cases. So, I want to know how to understand such a automatically heuristic?
Looking forward to your reply, thanks for your time.
The text was updated successfully, but these errors were encountered: