Alternatives and similar repositories for Graph-Reading-Group

Users that are interested in Graph-Reading-Group are comparing it to the libraries listed below

• shagunsodhani / Graph-Reading-Group
  Weekly reading group on Graphs at Mila
  ☆281Updated 6 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 6 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• liupeng3425 / interpretable-research
  I collected some papers about interpretable CNN and reorganized them here.
  ☆131Updated 7 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 7 years ago
• Chillee / OpenReviewExplorer
  Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!
  ☆89Updated 4 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• floodsung / Lifelong-Learning-Paper-List
  Lifelong/Continual Learning Paper List
  ☆155Updated 6 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆123Updated 6 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆314Updated 5 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆121Updated 6 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• shaohua0116 / ICLR2019-OpenReviewData
  Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
  ☆387Updated 5 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆70Updated 4 years ago
• niudd / ICML-2018-Papers
  https://icml.cc/Conferences/2018/Schedule
  ☆35Updated 7 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆73Updated 7 years ago
• xbresson / spectral_graph_convnets
  PyTorch implementation of spectral graph ConvNets, NeurIPS’16
  ☆291Updated 7 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• desire2020 / CoT
  (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''
  ☆72Updated 6 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 6 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 6 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• rasmusbergpalm / recurrent-relational-networks
  Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
  ☆202Updated 2 years ago
• L0SG / relational-rnn-pytorch
  An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
  ☆245Updated 6 years ago