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 Message passing relational and iterative classifier collective classifier Reference message passing explanation https://wandb.ai/graph-neural-networks/spatial/reports/An-Introdu...
CS224W--Graph ML introduction
Unitree Go 1 EDU doc--control with legged SDK and ROS
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