Anton-Cherepkov / gnn-mnist-classificationLinks
Image classification using Graph Neural Networks (GNNs) with MNIST dataset
☆44Updated 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:
- Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification☆28Updated 5 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 4 years ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆66Updated last year
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆112Updated 5 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆46Updated 5 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 2 years ago
- A simple collection of arXiv daily graph mining-related papers for personal reading.☆22Updated this week
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- Tensor-based hypergraph neural networks☆16Updated last year
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆75Updated 2 years ago
- Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product☆28Updated 4 years ago
- MNIST classification by using GCN☆48Updated 5 years ago
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆25Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- Diffpool implementation for GDLMA SoSe22 @ TUM☆12Updated 3 years ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated last year
- Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting☆30Updated 2 years ago
- ☆22Updated 4 years ago
- An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classificat…☆35Updated last year
- Few-Shot Graph Classification via distance metric learning.☆23Updated last year
- ☆18Updated last year
- ☆56Updated last month
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆12Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in COVID-19 Classification☆27Updated 5 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆55Updated 3 years ago
- Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection☆27Updated 2 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆11Updated 2 years ago