Alternatives and similar repositories for label_propagation:

Users that are interested in label_propagation are comparing it to the libraries listed below

• liqimai / Efficient-SSL
  Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
  ☆75Updated 6 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 6 years ago
• thunlp / NEU
  source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"
  ☆33Updated 7 years ago
• liqimai / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆45Updated 7 years ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 7 years ago
• andompesta / ComE
  Implementation of ComE algorithm
  ☆59Updated 2 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 7 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 5 years ago
• HongyangGao / LGCN
  Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
  ☆47Updated 6 years ago
• vwz / AGE
  Active Learning for Graph Embedding
  ☆32Updated 7 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 5 years ago
• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆92Updated 6 years ago
• linhongseba / Temporal-Network-Embedding
  The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
  ☆64Updated 7 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 5 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆174Updated last year
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated last year
• xhuang31 / LANE
  Label Informed Attributed Network Embedding, WSDM 2017
  ☆37Updated 5 years ago
• ShelsonCao / DNGR
  Source Code of DNGR
  ☆42Updated 8 years ago
• ShelsonCao / GraRep
  Source Code of GraRep
  ☆52Updated 7 years ago
• VahidooX / LINE
  This is an implementation of LINE(Large-scale information network embedding) algorithm.
  ☆72Updated last year
• lehaifeng / Awesome-Adversarial-Sample-on-Graph
  ☆15Updated 6 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• wuliwei9278 / ml-1m
  New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
  ☆12Updated 7 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆255Updated 7 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆52Updated 4 years ago
• nate-russell / Network-Embedding-Resources
  Network Embedding Survey and Resources
  ☆40Updated 8 years ago