divelab / lgcnLinks
☆137Updated 5 years ago
Alternatives and similar repositories for lgcn
Users that are interested in lgcn are comparing it to the libraries listed below
Sorting:
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- tensorflow-as-gcn☆89Updated 6 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143Updated 7 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- patchy-san implemented in Chainer☆48Updated 7 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 7 years ago
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)☆65Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆74Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated last year
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆115Updated 4 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- Dual Graph Convolution Networks☆96Updated 6 years ago
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems☆110Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 4 years ago
- Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)☆98Updated 2 years ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆144Updated 4 years ago
- Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)☆82Updated 4 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70Updated 6 years ago