Anton-Cherepkov / gnn-mnist-classificationLinks
Image classification using Graph Neural Networks (GNNs) with MNIST dataset
☆43Updated 2 years ago
Alternatives and similar repositories for gnn-mnist-classification
Users that are interested in gnn-mnist-classification are comparing it to the libraries listed below
Sorting:
- ☆19Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆64Updated last year
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 4 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆38Updated 3 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆110Updated 4 years ago
- Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification☆28Updated 5 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆45Updated 5 years ago
- Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image…☆24Updated 2 years ago
- Diffpool implementation for GDLMA SoSe22 @ TUM☆12Updated 3 years ago
- Interaction Network Contextual Embedding☆17Updated last year
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆35Updated 11 months ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆80Updated last year
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Updated 3 years ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated last year
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆119Updated 3 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆23Updated 3 weeks ago
- Few-Shot Graph Classification via distance metric learning.☆23Updated last year
- ☆22Updated 4 years ago
- 使用GCN实现mnist手写数字分类☆13Updated 3 years ago
- Realization of stroke classification method Graph Attention Network with Edge Feature Attention using PyTorch.☆21Updated 4 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 5 years ago
- ☆34Updated last year
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆30Updated 3 years ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆10Updated last year
- MNIST classification by using GCN☆48Updated 5 years ago
- The PyTorch version of ChebNet.☆36Updated 7 months ago
- A simple collection of arXiv daily graph mining-related papers for personal reading.☆20Updated this week
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆73Updated 2 years ago