huangwb / AS-GCNLinks
tensorflow-as-gcn
☆90Updated 5 years ago
Alternatives and similar repositories for AS-GCN
Users that are interested in AS-GCN are comparing it to the libraries listed below
Sorting:
- ☆137Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 11 months ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆140Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- ☆53Updated 5 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 7 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 6 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆56Updated 6 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago