Critique
Fragment of a discussion from Course talk:CPSC522/Pretraining Methods for Graph Neural Networks
Thanks a lot for the detailed review,
- Since, the connection between the two papers wasn't clear, I have modified the abstract to make it explicit that the two papers solve separate problems, changed the naming of the headers of the two paper sections, and also modified the conclusion. I hope this makes it more clear and easy to understand.
- Since they solve separate problems, I have mentioned in the conclusion what are the key takeaways for each task (node classification and graph classification)
- Added some pointers to figures.
- Added a line about expressivity of Graph Isomorphism Network.
- Added a section (https://wiki.ubc.ca/Course:CPSC522/Pretraining_Methods_for_Graph_Neural_Networks#Issues_with_using_only_Node-Level_and_Graph-Level_Pre-training_Strategy) on why using individual node-level pre-training and graph-level pre-training does not yield useful results.
NIKHILSHENOY (talk)