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YouTube, CS224W: Machine Learning with Graphs | 2021 | Lecture 8.2 - Training Graph Neural Networks
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CS224W: Machine Learning with Graphs | 2021 | Lecture 8.2 - Training Graph Neural Networks

#Jure Leskovec
#Machine Learning
#Machine Learning with Graphs
#Graphs
#CS224W
#Stanford
#Training Graph Neural Networks
#GNN training pipeline
#representing data as a graph
#GNNs as neural network models over graphs
#using GNNs to generate node embeddings
#graph classification
02:12prediction head 개념
02:55node prediction
04:33evaluation
05:10edge prediction option 1 - concatenation + linear
06:31edge prediction option 2 - dot product
08:19graph prediction
17:51predictions & labels
23:55loss function
34:33binary classification - accuracy, precision(P), recall (R), F1-score
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