├── Canonical_GNN.py ├── Extras ├── PT_MCMC_GNN_QM9.py └── SingleChainMCMC_QM9.py ├── Literature ├── Graph Neural Networks - A review Of Methods and Applications.pdf ├── Langevin-Gradient Parallel Tempering.pdf └── Semi-Supervised Classification with Graph Convolutional Networks.pdf ├── PT_MCMC_GNN_Planetoid.py ├── README.md └── SingleChainMCMC_Planetoid.py /Canonical_GNN.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Canonical_GNN.py -------------------------------------------------------------------------------- /Extras/PT_MCMC_GNN_QM9.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Extras/PT_MCMC_GNN_QM9.py -------------------------------------------------------------------------------- /Extras/SingleChainMCMC_QM9.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Extras/SingleChainMCMC_QM9.py -------------------------------------------------------------------------------- /Literature/Graph Neural Networks - A review Of Methods and Applications.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Literature/Graph Neural Networks - A review Of Methods and Applications.pdf -------------------------------------------------------------------------------- /Literature/Langevin-Gradient Parallel Tempering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Literature/Langevin-Gradient Parallel Tempering.pdf -------------------------------------------------------------------------------- /Literature/Semi-Supervised Classification with Graph Convolutional Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/Literature/Semi-Supervised Classification with Graph Convolutional Networks.pdf -------------------------------------------------------------------------------- /PT_MCMC_GNN_Planetoid.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/PT_MCMC_GNN_Planetoid.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/README.md -------------------------------------------------------------------------------- /SingleChainMCMC_Planetoid.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/sydney-machine-learning/BayesianGraphNeuralNetworks/HEAD/SingleChainMCMC_Planetoid.py --------------------------------------------------------------------------------