hertz-pj / GNNPapers
Must-read papers on graph neural networks (GNN)
☆28Updated 5 years ago
Related projects: ⓘ
- patchy-san implemented in Chainer☆49Updated 6 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- Dual Attention Graph Convolutional Network☆86Updated 3 years ago
- extract features by maximizing mutual information☆144Updated 4 years ago
- ☆136Updated 4 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆74Updated 5 years ago
- ☆53Updated 5 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆85Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 4 months ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆122Updated 5 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 6 years ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆53Updated 2 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 5 years ago
- Collect papers about graph☆74Updated 4 years ago
- GPF(Graph Processing Flow):利用图神经网络处理问题的一般化流程☆91Updated 5 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆325Updated 6 years ago
- The official repo is https://github.com/dmlc/dgl . THIS IS A FORK.☆154Updated last year
- Dual Graph Convolution Networks☆94Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆91Updated 5 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆74Updated 4 years ago
- ☆204Updated 3 years ago
- ☆74Updated this week
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆36Updated 2 years ago
- ☆47Updated this week
- A python implementation of Patchy-San Convolutional Network for Graph☆41Updated 3 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP☆72Updated 5 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆103Updated last month
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago