machine-reasoning-ufrgs / spixel-gatLinks
Companion code of "Superpixel Image Classification with GraphAttention Networks"
☆30Updated 5 years ago
Alternatives and similar repositories for spixel-gat
Users that are interested in spixel-gat are comparing it to the libraries listed below
Sorting:
- MWP for superpixel GNN classification☆25Updated 6 years ago
- Some code examples☆44Updated 5 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆286Updated 5 years ago
- Superpixel for CIFAR dataset☆11Updated 3 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆541Updated 5 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 9 months ago
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆30Updated 3 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- Dual Graph Convolution Networks☆97Updated 7 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆276Updated 3 years ago
- Inception Graph Convolutional NN on medical and non-medical datasets☆22Updated 5 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆336Updated 5 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 8 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Updated 2 years ago
- Modular Graph Transformer Networks☆22Updated 4 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆134Updated 3 years ago
- MNIST classification by using GCN☆48Updated 5 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆50Updated 6 years ago
- the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"☆68Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆23Updated 3 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆59Updated 5 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 5 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆46Updated 6 years ago
- Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecul…☆57Updated last year