000			01047nam a22001937a 4500
005			20251102154250.0
008			251029b |||||||| |||| 00| 0 eng d
020			_a9781617299056
082			_a006.32 _bBRO
100			_aBroadwater, Keita _925943
245			_aGraph neural networks in action
260			_aShelter Island _bManning Publications _c2025
300			_axix, 370 p.
365			_aUSD _b59.99
520			_aGraph Neural Networks in Action teaches you how to analyze and make predictions on data structured as graphs. You’ll work with graph convolutional networks, attention networks, and auto-encoders to take on tasks like node classification, link prediction, working with temporal data, and object classification. Along the way, you’ll learn the best methods for training and deploying GNNs at scale—all clearly illustrated with well-annotated Python code! (https://www.manning.com/books/graph-neural-networks-in-action)
650			_aNetwork--Analaystics _925944
700			_aStillman, Namid _925945
942			_cBK _2ddc
999			_c10482 _d10482