April 2023
Intermediate to advanced
354 pages
8h 22m
English
Content preview from Hands-On Graph Neural Networks Using Python
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Index
As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.
A
activation function 107
Adamic-Adar index 165
adjacency list 22
adjacent 18
aggregate function 148
aggregation 129
aggregator 129
LSTM aggregator 129
mean aggregator 129
pooling aggregator 129
anomaly detection 275
A* search 25
attention scores 106
Attention Temporal Graph Convolutional Network (A3T-GCN)
autoregressive models 190, 191
average precision (AP) 169
averaging 108
B
batch gradient descent 126
Bayesian Personalized Ranking (BPR) 309
BERT 105
bidirectional BFS 24
binary bag of words 68
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