Alternatives and similar repositories for GMM-EM

Users that are interested in GMM-EM are comparing it to the libraries listed below

• georgehc / mnar_mc
  ☆12Updated 4 years ago
• jonathanwilton / PUExtraTrees
  uPU, nnPU and PN learning with Extra Trees classifier.
  ☆18Updated last year
• JunhaoWang / fraudar
  ☆25Updated 6 years ago
• luoping1004 / dgMDL
  A disease gene prediction algorithm based on multimodel deep belief net
  ☆16Updated 2 years ago
• burtonw0814 / TF_Distributed_Training_Example___Model_Parallelism
  A CNN example that demonstrates the workflow for using distributed TensorFlow to split the graph between multiple machines
  ☆17Updated 7 years ago
• Ivan0131 / gnn_demo
  ☆29Updated 6 years ago
• MrLeeeee / GCN-GAT-and-Graphsage
  The code for GCN, GAT and Graphsage based on pytorch.
  ☆61Updated 2 years ago
• zexihuang / random-walk-embedding
  A Broader Picture of Random-walk Based Graph Embedding
  ☆30Updated 4 years ago
• chengw07 / NetWalk
  ☆59Updated 6 years ago
• daniu101 / RandomForest
  随机森林模型
  ☆10Updated 7 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 3 years ago
• williamweiwu / williamweiwu.github.io
  I am currently a Senior Researcher at L3S Research Center, Leibniz University Hannover, Germany.
  ☆24Updated 4 years ago
• xchadesi / GraphNeuralNetwork
  The learning of the GraphNeuralNetwork
  ☆153Updated 6 years ago
• ljatynu / NIMCGCN
  ☆26Updated 3 years ago
• VachelHU / EvoNet
  Time-Series Event Prediction with Evolutionary State Graph, WSDM 2021
  ☆93Updated 5 years ago
• leichaocn / graph_representation_learning
  ☆37Updated 6 years ago
• roywright / pu_learning
  Experiments in positive-unlabeled learning
  ☆124Updated 7 years ago
• fukien / BiANE
  Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".
  ☆15Updated last year
• uma-pi1 / DSGDpp
  Implementations of various parallel algorithms for matrix factorization (including DSGD++)
  ☆15Updated 8 years ago
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated 2 years ago
• liyu95 / Disease_gene_prioritization_GCN
  PGCN: Disease gene prioritization by disease and gene embedding through GCN
  ☆79Updated last year
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆47Updated 6 years ago
• Issingjessica / MDA-CNN
  this is the source code and data
  ☆19Updated 7 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated 2 years ago
• iopsai / iops
  ☆38Updated 3 years ago
• shuowang-ai / GeniePath-pytorch
  This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…
  ☆105Updated last year
• lazywolf007 / IMCMDA
  ☆18Updated 7 years ago
• Ivan0131 / gcn_demo
  ☆17Updated 5 years ago
• THUDM / GraphSGAN
  Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
  ☆86Updated 6 years ago
• lorenzopalloni / wl-graph-kernels
  A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.
  ☆24Updated 6 years ago