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]
-