Content Node embeddings (lecture 3.1) Random walk for node embeddings (lecture 3.2) Embed entire graph (lecture 3.3) 1. Node embedding Instead of traditional feature engineering, vector e...
Content PageRank (lecture 4.1 & 4.2) Random walk and restarts (lecture 4.3) Matrix factorization and node embeddings (lecture 4.4) 1. PageRank web page contains in-links and out-link...
Content Why Graph in ML? Classic Graph ML tasks Choice of representations 1. Why Graph in ML? 1.1 Graph structure naturally exists in many data Data examples that can be represented as g...
Jetson Nano project template-camera
Jetson Nano project template-environmental sensor
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