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+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]
+-