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  1. Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018

    Python 28 2

  2. Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016

    Python 11 4

  3. Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

    Python 255 44

  4. Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

    C++ 205 30

  5. Sample Code for Graph Partition Neural Networks

    Python 64 27

8 contributions in the last year

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January 2020

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