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🔥 Графовые нейронные сети (ГНС) стали мощным методом работы с уникальными и разнородными данными из графов.

Google объявили о выпуске TensorFlow GNN 1.0 (TF-GNN), проверенной на практике библиотеки для построения GNN в масштабе.

▪Анонс: https://blog.research.google/2024/02/graph-neural-networks-in-tensorflow.html

▪Colab: https://colab.research.google.com/github/tensorflow/gnn/blob/master/examples/notebooks/ogbn_mag_e2e.ipynb

▪Github: https://github.com/tensorflow/gnn

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🔥 Графовые нейронные сети (ГНС) стали мощным методом работы с уникальными и разнородными данными из графов.

Google объявили о выпуске TensorFlow GNN 1.0 (TF-GNN), проверенной на практике библиотеки для построения GNN в масштабе.

▪Анонс: https://blog.research.google/2024/02/graph-neural-networks-in-tensorflow.html

▪Colab: https://colab.research.google.com/github/tensorflow/gnn/blob/master/examples/notebooks/ogbn_mag_e2e.ipynb

▪Github: https://github.com/tensorflow/gnn

@data_analysis_ml
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🔥 Графовые нейронные сети (ГНС) стали мощным методом работы с уникальными и разнородными данными из графов.

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