mulinmeng / GraphU-Net
pytorch geometric version
☆12Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraphU-Net
- Dual Attention Graph Convolutional Network☆87Updated 3 years ago
- Sparse graph attention☆17Updated 6 years ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆61Updated 6 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆37Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 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
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆31Updated 5 years ago
- Dual Graph Convolution Networks☆93Updated 5 years ago
- The official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representa…☆57Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 6 months ago
- Graph Cross Network☆48Updated 4 years ago
- FGCS 2021: Mutual teaching for graph convolutional networks☆15Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆37Updated 5 years ago
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆29Updated 2 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆144Updated 6 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆74Updated 5 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 4 years ago
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆37Updated 2 years ago
- ☆35Updated 5 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆10Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Graph Learning Convolution Network☆37Updated last year
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Random Walk Graph Neural Networks☆51Updated 3 years ago
- A PyTorch implementation of paper "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"☆11Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆71Updated 5 years ago