Transcription of CS224W: Machine Learning with Graphs Jure Leskovec, http ...
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CS224W: Machine Learning with GraphsJure Leskovec, Stanford The class meets Tue and Thu 1:30-3:00pm Pacific Time in person Videos of the lectures will be recorded and posted on Canvas Structure of lectures: 60-70 minutes of a lecture During this time you can ask questions 10-20 minutes of a live Q&A/discussion session at the end of the lecture9/22/2021 Jure Leskovec, Stanford CS224W: Machine Learning with Graphs29/22/2021 Jure Leskovec, Stanford CS224W: Machine Learning with Graphs39/22/2021 Jure Leskovec, Stanford CS224W: Machine Learning with Graphs4 DateTopicDateTopicTue, Sep 211. Introduction; Machine Learning for GraphsTue, Oct 2611. Reasoning over Knowledge GraphsThu, Sep 232. Traditional Methods for ML on GraphsThu, Oct 2812.
Image credit: MDPI Scene Graphs Image credit: math.hws.edu Regulatory Networks Image credit: ese.wustl.edu Main question: How do we take advantage of relational structure for better prediction? 9/22/2021
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