Alternatives and similar repositories for KDD19-CoSTCo

Users that are interested in KDD19-CoSTCo are comparing it to the libraries listed below

• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 7 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• jcatw / dcnn
  An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.
  ☆35Updated 8 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 6 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆137Updated 5 years ago
• namkoong-lab / robustopt
  ☆43Updated 7 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆33Updated 9 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 6 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆256Updated 7 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 6 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 4 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 7 years ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆15Updated 4 years ago
• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆108Updated 2 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated 2 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• huawei-noah / BGCN
  A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
  ☆162Updated 6 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆84Updated 6 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆49Updated 5 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆63Updated 4 years ago
• JoonyoungYi / LLORMA-tensorflow
  The tensorflow prototype of "Local Low-rank Matrix Approximation" (LLORMA)
  ☆10Updated 6 years ago
• mingzhang-yin / SIVI
  A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…
  ☆54Updated last year
• dunan / NeuralPointProcess
  ☆90Updated 2 years ago
• shchur / ifl-tpp
  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
  ☆89Updated 4 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 7 years ago