Alternatives and similar repositories for mgcnn

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

• 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
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆254Updated 6 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆526Updated 4 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 4 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 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
• divelab / lgcn
  ☆137Updated 5 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆182Updated 7 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated 2 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆322Updated 10 months ago
• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆89Updated 6 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆177Updated 2 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
• bknyaz / graph_nn
  Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
  ☆336Updated 5 years ago
• plai-group / gae_in_pytorch
  Graph Auto-Encoder in PyTorch
  ☆81Updated 2 years ago
• riannevdberg / gc-mc
  ☆417Updated 6 years ago
• luckiezhou / DynamicTriad
  Dynamic Network Embedding by Modeling Triadic Closure Process
  ☆141Updated 6 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆537Updated 5 years ago
• palash1992 / DynamicGEM
  ☆354Updated 5 years ago
• tanimutomo / gcmc
  Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
  ☆161Updated last year
• shchur / gnn-benchmark
  Framework for evaluating Graph Neural Network models on semi-supervised node classification task
  ☆484Updated 6 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 3 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 6 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆411Updated 5 years ago
• muhanzhang / LinkPrediction
  Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"
  ☆57Updated 7 years ago