Alternatives and similar repositories for graph_refinement

Users that are interested in graph_refinement are comparing it to the libraries listed below

• basiralab / MultiGraphGAN
  MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
  ☆22Updated 2 years ago
• jocpae / VesselGraph
  ☆117Updated 2 months ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆23Updated 5 years ago
• shaoweinuaa / HM2TFS
  Hyper-graph based Multi-task Feature Selection for Multi-modal Classification of Alzheimer's Disease
  ☆11Updated 5 years ago
• shekshaa / InceptionGCN
  Inception Graph Convolutional NN on medical and non-medical datasets
  ☆21Updated 5 years ago
• CompTop / torch-tda
  Automatic differentiation through persistence diagrams with PyTorch
  ☆17Updated last year
• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• Zhiwei-Zhai / Linking-CNN-GCN
  Artery vein separation
  ☆54Updated 2 years ago
• zhengyang-wang / sopool-gnns
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 5 years ago
• yuki3-18 / Topological-DVAE
  An implementation of Denoising Variational AutoEncoder with Topological loss
  ☆31Updated 4 years ago
• guillaumejaume / tuto-dl-on-graphs
  ☆14Updated 4 years ago
• martanunez / LA_flattening
  Implementation of quasi-conformal regional flattening of the left atrium
  ☆13Updated 2 years ago
• bhagya-hettige / MedGraph
  MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records
  ☆22Updated 4 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated last year
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 5 years ago
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆24Updated 4 years ago
• Prasanna1991 / LatentMixing
  The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]
  ☆22Updated last year
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 5 years ago
• charan223 / Brain-Tumor-Segmentation-using-Topological-Loss
  A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss
  ☆32Updated 6 years ago
• batmanlab / Context_Aware_SSL
  Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
  ☆58Updated 2 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆31Updated 3 years ago
• multimodallearning / miccai19_self_supervision
  Example Code for Self-Supervised Feature Learning in Medical Volume Scans
  ☆14Updated 5 years ago
• sw-gong / MoNet
  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
  ☆58Updated 5 years ago
• HKervadec / shape_descriptors
  Code for our MIDL 2021 submission
  ☆16Updated 4 years ago
• jkim82133 / pllay
  PLLay: Efficient Topological Layer based on Persistence Landscapes
  ☆21Updated 4 years ago
• SJTUBME-QianLab / AutoMetricGNN
  ☆21Updated 4 years ago