logseq/pages/TSE-2023-11-0555.R1.md

type:: REVIEWS tags:: year:: 2024 venue:: TSE full-title:: Improving Issue-PR Link Prediction via Knowledge-aware Heterogeneous Graph Learning date-start:: 15-04-2024 - 16:39 date-submitted:: 16-04-2024 external-links:: https://mc.manuscriptcentral.com/tse-cs?URL_MASK=1f9d398417a84b26b4a8d410eacc6fdf status:: DONE deadline-submission:: 19-04-2024 file:: @TSE-2023-11-0555.R1 parent:: TSE-2023-11-0555_Proof_hi todoist:: https://app.todoist.com/app/task/tse-2023-11-0555-r1-now-in-your-reviewer-center-7840728063

- ### [[Highlights]]
- ### [[Comments]]
	- I thank the authors for their efforts to improve the paper and address all the comments I raised during the first review round. Therefore, I'm satisfied with the given answers.
- ### [[REVIEWS/Notes]]
- ### YELLOW CONCERNS
  background-color:: yellow
	- {{query (and [[ffd400]] [[TSE-2023-11-0555.R1]] )}}
- ### ❓️Questions
	- {{query (and [[question]] [[TSE-2023-11-0555.R1]] )[[question]]}}
	  query-table:: true
	  query-properties:: [:block]