Alternatives and similar repositories for RWR-GAE

Users that are interested in RWR-GAE are comparing it to the libraries listed below

• TrustAGI-Lab / MGAE
  Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
  ☆28Updated 3 years ago
• karenlatong / AGC-master
  ☆51Updated 3 years ago
• tadpole / DHNE
  the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）
  ☆47Updated 6 years ago
• amin-salehi / GATE
  Graph Attention Auto-Encoders
  ☆78Updated 2 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆124Updated 6 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• YuxiangRen / Heterogeneous-Deep-Graph-Infomax
  HDGI code
  ☆63Updated 5 years ago
• TrustAGI-Lab / ARGA
  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …
  ☆184Updated 3 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆59Updated 4 years ago
• pcy1302 / DMGI
  Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
  ☆150Updated 2 years ago
• daiquanyu / AdvT4NE_WWW2019
  Adversarial Training Methods for Network Embedding, WWW2019.
  ☆27Updated 6 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 5 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆117Updated 5 years ago
• ShinKyuY / Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks
  Representation Learning on Graphs with Jumping Knowledge Networks
  ☆39Updated 6 years ago
• googlebaba / WWW2020-O2MAC
  WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering
  ☆88Updated 2 years ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆60Updated 4 years ago
• lundu28 / GNE
  Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
  ☆16Updated 5 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• marblet / GCNmf
  PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
  ☆48Updated last year
• DEEP-PolyU / GraphRNA_KDD19
  Graph Recurrent Networks with Attributed Random Walks
  ☆28Updated 2 years ago
• thunlp / AGE
  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
  ☆114Updated 2 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆74Updated 7 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• yunshengb / UGraphEmb
  ☆49Updated 6 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 6 years ago
• nijingchao / dmne
  dmne is an algorithm to learn node representations from multi-network data.
  ☆14Updated 7 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆178Updated 7 years ago