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Code for paper "Robust Cascade Reconstruction by Steiner Tree Sampling", ICDM 2018

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scripts
scripts
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
algorithm-illustration.ipynb
algorithm-illustration.ipynb
 
 
build_graph_summary_table.ipynb
build_graph_summary_table.ipynb
 
 
cascade-stats.ipynb
cascade-stats.ipynb
 
 
cascade_distribution.ipynb
cascade_distribution.ipynb
 
 
cascade_distribution_experiment.py
cascade_distribution_experiment.py
 
 
cascade_generator.py
cascade_generator.py
 
 
compare_inference_method.py
compare_inference_method.py
 
 
compare_query_selection.py
compare_query_selection.py
 
 
compare_running_time.py
compare_running_time.py
 
 
convert_graphml_to_gt.py
convert_graphml_to_gt.py
 
 
convert_snap_network.py
convert_snap_network.py
 
 
core.py
core.py
 
 
core1.pyx
core1.pyx
 
 
edge_experiment.ipynb
edge_experiment.ipynb
 
 
eval_helpers.py
eval_helpers.py
 
 
experiment.py
experiment.py
 
 
experiment_num_samples.py
experiment_num_samples.py
 
 
experiment_obs_method.py
experiment_obs_method.py
 
 
experiment_on_edges.py
experiment_on_edges.py
 
 
experiment_pipeline.py
experiment_pipeline.py
 
 
experiment_real_cascade.py
experiment_real_cascade.py
 
 
experiment_root_effect.py
experiment_root_effect.py
 
 
fixture.py
fixture.py
 
 
graph_helpers.py
graph_helpers.py
 
 
helpers.py
helpers.py
 
 
inf_helpers.py
inf_helpers.py
 
 
inference.py
inference.py
 
 
introduction-plots.ipynb
introduction-plots.ipynb
 
 
just_evaluate_real_cascade.py
just_evaluate_real_cascade.py
 
 
legend_and_colorbars.ipynb
legend_and_colorbars.ipynb
 
 
legend_example.py
legend_example.py
 
 
linalg_helpers.py
linalg_helpers.py
 
 
make_graph_weighted.py
make_graph_weighted.py
 
 
make_stochastic_graph.py
make_stochastic_graph.py
 
 
math_helpers.py
math_helpers.py
 
 
minimum_steiner_tree.py
minimum_steiner_tree.py
 
 
observe_digg_cascade.py
observe_digg_cascade.py
 
 
playground.ipynb
playground.ipynb
 
 
plot-num-sample-effect.ipynb
plot-num-sample-effect.ipynb
 
 
plot.ipynb
plot.ipynb
 
 
plot_performance.py
plot_performance.py
 
 
prepare-netfill-data.ipynb
prepare-netfill-data.ipynb
 
 
preprocess_graph.py
preprocess_graph.py
 
 
print_cascade_sizes.py
print_cascade_sizes.py
 
 
print_graph_summary.py
print_graph_summary.py
 
 
print_pickle.py
print_pickle.py
 
 
proba_helpers.py
proba_helpers.py
 
 
process_data_from_cigdem.py
process_data_from_cigdem.py
 
 
profile_query_score.py
profile_query_score.py
 
 
re_observe_cascade.py
re_observe_cascade.py
 
 
resampling-effect.ipynb
resampling-effect.ipynb
 
 
root_sampler.py
root_sampler.py
 
 
sample_pool.py
sample_pool.py
 
 
sampling_methods_evaluation.py
sampling_methods_evaluation.py
 
 
sampling_methods_experiment.py
sampling_methods_experiment.py
 
 
sampling_methods_plot.py
sampling_methods_plot.py
 
 
sampling_objective_comparison.py
sampling_objective_comparison.py
 
 
sampling_speed_test.py
sampling_speed_test.py
 
 
setup.py
setup.py
 
 
simulate_cascades.py
simulate_cascades.py
 
 
simulator.py
simulator.py
 
 
slides-intro-plot.ipynb
slides-intro-plot.ipynb
 
 
test_cascade_generator.py
test_cascade_generator.py
 
 
test_core.py
test_core.py
 
 
test_core1.py
test_core1.py
 
 
test_eval_helpers.py
test_eval_helpers.py
 
 
test_graph_helpers.py
test_graph_helpers.py
 
 
test_helpers.py
test_helpers.py
 
 
test_inference.py
test_inference.py
 
 
test_minimum_steiner_tree.py
test_minimum_steiner_tree.py
 
 
test_preprocess_graph.py
test_preprocess_graph.py
 
 
test_sample_pool.py
test_sample_pool.py
 
 
test_tree_stat.py
test_tree_stat.py
 
 
test_viz_helpers.py
test_viz_helpers.py
 
 
test_weighted_cascade.py
test_weighted_cascade.py
 
 
tree_distribution_experiment.py
tree_distribution_experiment.py
 
 
tree_stat.py
tree_stat.py
 
 
visualize-infection-proba.ipynb
visualize-infection-proba.ipynb
 
 
viz_helpers.py
viz_helpers.py
 
 

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cascade-reconstruction-by-tree-samples

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Code for paper "Robust Cascade Reconstruction by Steiner Tree Sampling", ICDM 2018

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data-mining steiner-tree probabilistic-models cascade-reconstruction tree-sampling paper-code

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