clusternet

Implementing Graph Neural Networks in Tensorflow

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
.ipynb_checkpoints		.ipynb_checkpoints
GNN		GNN
annealed_data		annealed_data
basic_practice		basic_practice
logDir		logDir
plot_data		plot_data
r_array_op		r_array_op
tf		tf
.DS_Store		.DS_Store
Backprop_test.ipynb		Backprop_test.ipynb
Bethe_Hessian_parameter_learning.ipynb		Bethe_Hessian_parameter_learning.ipynb
Bethe_Hessian_working.ipynb		Bethe_Hessian_working.ipynb
Graph_visualizations.ipynb		Graph_visualizations.ipynb
K-means.ipynb		K-means.ipynb
Learning_r.ipynb		Learning_r.ipynb
Plotting.ipynb		Plotting.ipynb
README.md		README.md
RNN_eigenvectors.ipynb		RNN_eigenvectors.ipynb
Untitled.ipynb		Untitled.ipynb
annealed_r_learn.py		annealed_r_learn.py
csv_performance.ipynb		csv_performance.ipynb
debugging_gradient.ipynb		debugging_gradient.ipynb
gradient_override_practice.ipynb		gradient_override_practice.ipynb
laplacian_kmeans.ipynb		laplacian_kmeans.ipynb
plot_data_script		plot_data_script
plot_data_script.py		plot_data_script.py
projection_alternative_to_k_means.ipynb		projection_alternative_to_k_means.ipynb
r_array_learn.py		r_array_learn.py
r_debug.py		r_debug.py
r_learn_tensorboard.py		r_learn_tensorboard.py
r_optimization_data.ipynb		r_optimization_data.ipynb

lishali/clusternet