Graph embedding quick deck
Recall when to use random-walk embeddings, biased walks, or inductive GraphSAGE-style embeddings.
DeepWalk What is DeepWalk best remembered for? Random walks turn graph neighborhoods into sequences for representation learning. Useful mental model: nodes that appear in similar walk contexts get similar vectors. Walk control DeepWalk or node2vec? node2vec adds a knob for the graph notion of similarity. New nodes "Can we score brand-new nodes without retraining everything?" A recommendation system sees new users and items every hour. Your line That points toward an inductive method like GraphSAGE, assuming node features and neighborhoods are available. A transductive embedding may require retraining or special handling for unseen nodes. It connects method choice to the…
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