Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft

MLA

Zhang, Jiyang, et al. Using Large-Scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2202.02385&authtype=sso&custid=ns315887.

APA

Zhang, J., Maddila, C., Bairi, R., Bird, C., Raizada, U., Agrawal, A., Jhawar, Y., Herzig, K., & van Deursen, A. (2022). Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft.

Chicago

Zhang, Jiyang, Chandra Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, and Arie van Deursen. 2022. “Using Large-Scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2202.02385&authtype=sso&custid=ns315887.