Alternatives and similar repositories for lgcn:

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

• huangwb / AS-GCN
  tensorflow-as-gcn
  ☆92Updated 5 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆123Updated 5 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 2 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆121Updated 10 months ago
• rootlu / RHINE
  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
  ☆55Updated 4 years ago
• seiya-kumada / patchy-san
  patchy-san implemented in Chainer
  ☆48Updated 6 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…
  ☆104Updated 7 months ago
• jennyzhang0215 / STAR-GCN
  STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
  ☆107Updated 4 years ago
• GTmac / HARP
  Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
  ☆116Updated last year
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 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
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆75Updated 6 years ago
• THUDM / GraphSGAN
  Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
  ☆86Updated 5 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆93Updated 6 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆82Updated 7 months ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• ShiYaya / graph
  ☆53Updated 5 years ago
• librahu / HeGAN
  Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
  ☆70Updated 5 years ago
• liqimai / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆45Updated 6 years ago
• tanimutomo / gcmc
  Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)
  ☆154Updated 7 months ago
• GentleZhu / HEER
  Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
  ☆64Updated 6 years ago
• fmonti / mgcnn
  Multi-Graph Convolutional Neural Networks
  ☆253Updated 6 years ago
• AvigdorZ / ADaptive-Structural-Fingerprint
  ☆29Updated 4 years ago
• THUDM / MCNS
  Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"
  ☆112Updated 3 years ago
• dedekinds / Graph-Embedding
  Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
  ☆96Updated last year
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 2 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 3 years ago