GitHub

Pinned Loading

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

    Python 42 4

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

    Python 14 5

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

    Python 317 64

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

    C++ 482 97

  5. Sample Code for Graph Partition Neural Networks

    Python 94 37

  6. Gaussian-Bernoulli Restricted Boltzmann Machines

    Python 109 11

Read the original on github.com ↗