Alternatives and similar repositories for MultiGraphGAN

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

• basiralab / gGAN
  Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.
  ☆23Updated 3 years ago
• raghavian / graph_refinement
  This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks"…
  ☆33Updated 2 years ago
• basiralab / HADA
  HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
  ☆9Updated 5 years ago
• basiralab / HCAE
  HCAE (HyperConnectome AutoEncoder) for brain state identification.
  ☆16Updated 4 years ago
• shaoweinuaa / HM2TFS
  Hyper-graph based Multi-task Feature Selection for Multi-modal Classification of Alzheimer's Disease
  ☆11Updated 6 years ago
• SJTUBME-QianLab / AutoMetricGNN
  ☆21Updated 4 years ago
• basiralab / DGN
  How to fuse a population of graphs into a single one using graph neural networks?
  ☆26Updated last year
• ZijianD / Brain-TokenGT
  "Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)
  ☆24Updated last year
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆40Updated last week
• ZhaomingKong / MGNets
  Implementation of Multiplex Graph Networks for Multimodal Brain Network Analysis
  ☆9Updated 9 months ago
• shekshaa / InceptionGCN
  Inception Graph Convolutional NN on medical and non-medical datasets
  ☆21Updated 5 years ago
• pydsgz / MGMC
  https://arxiv.org/abs/2005.06935
  ☆12Updated 2 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• basiralab / EvoGraphNet
  EvoGraphNet for graph time-series forecasting from a single timepoint.
  ☆16Updated last year
• ndey96 / GCNN-Explainability
  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
  ☆83Updated 3 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated last year
• HennyJie / IBGNN
  MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
  ☆58Updated 2 years ago
• jocpae / VesselGraph
  ☆120Updated 2 months ago
• linmengsysu / IsoNN
  ☆9Updated last year
• zhchs / Disease-Prediction-via-GCN
  A simple implementation of the paper "Disease Prediction via Graph Neural Networks".
  ☆22Updated 4 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• ashleve / graph_classification
  Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
  ☆30Updated 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
• basiralab / HUNet
  Deep hypergraph U-Net (HUNet) for brain graph embedding and classification.
  ☆23Updated 4 years ago
• histocartography / patho-quant-explainer
  Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"
  ☆46Updated 4 years ago
• bhagya-hettige / MedGraph
  MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records
  ☆23Updated 4 years ago
• rampasek / HGNet
  Hierarchical Graph Net
  ☆35Updated 3 years ago
• guillaumejaume / tuto-dl-on-graphs
  ☆14Updated 4 years ago
• RPaolino / loopy
  ☆10Updated 10 months ago