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Fresh picks from ArXiv This week on ArXiv: unsupervised community detection, reducing variance with sampling, and GNNs for quantum calculations 🧮 If I forgot to mention your paper, please shoot me a message and I will update the post. Algorithms * Graph Force Learning * Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection * ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations * Autobahn: Automorphism-based Graph Neural Nets * Graph Convolutional Embeddings for Recommender Systems SIGIR 2021 * On the Importance of Sampling in Learning Graph Convolutional Networks * Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Software * Implementing graph neural networks with TensorFlow-Keras * Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture Survey * Deep Graph Structure Learning for Robust Representations: A Survey