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FA24_46783: 01: CS-276 Sec 01 - Machine Learn Graphs

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Title Author Location Call Number Availability
Introduction to algorithms (3rd ed.) Stein, Clifford ; Leiserson, Charles E ; Cormen, Thomas H ; Rivest, Ronald L
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Networks, crowds, and markets : reasoning about a highly connected world Easley, David.
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HM851
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Network science with python and networkX quick start guide : explore and visualize network data effectively (1st edition) Platt, Edward L.
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Social and economic networks Jackson, Matthew O.
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Introduction to machine learning with applications in information security Stamp, Mark
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Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with Pytorch (1st ed.) Labonne, Maxime
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The elements of statistical learning : data mining, inference and prediction (2nd edition.) Hastie, Trevor
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Graph-powered machine learning ([First edition].) Negro, Alessandro
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Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms Stamile, Claudio
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Clean code : a handbook of agile software craftsmanship (1st edition) Martin, Robert C.
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Graph Machine Learning Stamile, Claudio
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Last updated 11-21-2024 12:34 am