Alternatives and similar repositories for GraphSGAN

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

• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• liqimai / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆45Updated 7 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 5 years ago
• divelab / lgcn
  ☆137Updated 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., …
  ☆187Updated 3 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 3 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• luckiezhou / DynamicTriad
  Dynamic Network Embedding by Modeling Triadic Closure Process
  ☆143Updated 6 years ago
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆56Updated 5 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆83Updated last year
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆143Updated 7 years ago
• librahu / HeGAN
  Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
  ☆70Updated 6 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated 2 years ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆89Updated 6 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆30Updated 5 years ago
• YimiAChack / GraphSTONE
  An implementation of "Graph Structural-topic Neural Network"
  ☆73Updated 5 years ago
• aravindsankar28 / Meta-GNN
  Implementation of Meta-GNN in TensorFlow
  ☆47Updated 4 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆117Updated 5 years ago
• daiquanyu / AdvT4NE_WWW2019
  Adversarial Training Methods for Network Embedding, WWW2019.
  ☆27Updated 6 years ago
• CrickWu / GCMC
  Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
  ☆54Updated 7 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.
  ☆73Updated 7 years ago
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• SamJia / CommunityGAN
  A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)
  ☆79Updated 6 years ago
• mengzaiqiao / CAN
  Co-embedding Attributed Networks
  ☆65Updated 5 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆102Updated 5 years ago
• GentleZhu / HEER
  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
  ☆65Updated 6 years ago
• xhuang31 / LANE
  Label Informed Attributed Network Embedding, WSDM 2017
  ☆37Updated 6 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆97Updated 4 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆256Updated 7 years ago