Anton-Cherepkov / gnn-mnist-classification
Image classification using Graph Neural Networks (GNNs) with MNIST dataset
☆36Updated last year
Related projects ⓘ
Alternatives and complementary repositories for gnn-mnist-classification
- MNIST classification by using GCN☆47Updated 4 years ago
- Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification☆26Updated 4 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 3 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆21Updated 2 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆16Updated 6 months ago
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆19Updated 3 years ago
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆19Updated 2 years ago
- Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image…☆22Updated last year
- ☆16Updated 10 months ago
- Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network☆31Updated 2 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆42Updated 4 years ago
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆20Updated 2 years ago
- 使用GCN实现mnist手写数字分类☆13Updated 3 years ago
- Use GCN to classify Mnist☆12Updated 4 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆36Updated 2 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆47Updated 2 years ago
- 使用基于自注意力池化机制结合GCN模型实现图分类☆22Updated 4 years ago
- ☆21Updated 3 years ago
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆29Updated 2 years ago
- Companion code of "Superpixel Image Classification with GraphAttention Networks"☆27Updated 4 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 5 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆16Updated 5 months ago
- A simple collection of arXiv daily graph mining-related papers for personal reading.☆19Updated this week
- ☆27Updated last year
- Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.☆11Updated 3 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆10Updated 6 months ago
- Official Pytorch Implementation of the paper Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling☆18Updated 2 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆12Updated 6 months ago
- Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…☆13Updated last year
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆16Updated last year