mulinmeng / GraphU-Net
pytorch geometric version
☆12Updated 5 years ago
Alternatives and similar repositories for GraphU-Net:
Users that are interested in GraphU-Net are comparing it to the libraries listed below
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Sparse graph attention☆17Updated 6 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆64Updated 6 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- The official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representa…☆57Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 10 months ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 5 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Graph Learning Convolution Network☆38Updated last year
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow☆78Updated 6 years ago
- Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"☆9Updated 5 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Graph Cross Network☆48Updated 4 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆174Updated 6 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆10Updated 4 years ago
- Regularized Graph CNN for Point Cloud Segmentation☆55Updated 6 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.☆41Updated 4 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago