BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20211107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6830dd7bac65a DTSTART;TZID=America/Toronto:20220429T120000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20220429T120000 URL:/computer-science/events/masters-thesis-presentatio n-se-jitgnn-a-deep-graph-neural-network-for-just-in-time-bug-prediction SUMMARY:Master’s Thesis Presentation • Software Engineering • JITGNN: A\nDeep Graph Neural Network for Just-In-Time Bug Prediction CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WI LL BE GIVEN ONLINE.\n\nHOSSEIN KESHAVARZ\, MASTER’S CANDIDATE\n_David R. Cheriton School of Computer Science_\n\nSUPERVISOR: Professor Mei Nagappa n\n DTSTAMP:20250523T204131Z END:VEVENT END:VCALENDAR