huangwb / AS-GCNLinks
tensorflow-as-gcn
☆89Updated 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 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated last year
- Dual Graph Convolution Networks☆96Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆180Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆124Updated 6 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 7 years ago
- ☆37Updated 6 years ago
- ☆53Updated 6 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 8 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago