machine-reasoning-ufrgs / spixel-gat
Companion code of "Superpixel Image Classification with GraphAttention Networks"
☆28Updated 4 years ago
Alternatives and similar repositories for spixel-gat:
Users that are interested in spixel-gat are comparing it to the libraries listed below
- MWP for superpixel GNN classification☆26Updated 5 years ago
- Modular Graph Transformer Networks☆21Updated 3 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation☆67Updated last year
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 7 years ago
- the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"☆65Updated 4 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆22Updated 2 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆22Updated 2 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)☆19Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆131Updated 2 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆30Updated 3 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Paper implementation☆39Updated 5 years ago
- Some code examples☆43Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .☆19Updated 3 years ago
- ☆25Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆19Updated 9 months ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆30Updated 2 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆47Updated 5 years ago
- [NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation☆40Updated 2 years ago
- MNIST classification by using GCN☆48Updated 5 years ago
- Inception Graph Convolutional NN on medical and non-medical datasets☆21Updated 4 years ago
- GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection☆38Updated 3 years ago
- This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks"…☆33Updated 2 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago