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If there is data in toy-data folder, there is no need to download data.

1. Set up env

sh ./recipe/setup.sh
Notes 1. Due to weiredness of Numba, a specific python version (3.7) is needed: #SEE: numba/numba#5156
Notes 2. DynAnom is a weighted version of DynamicPPE

2. Run the method (all experiments)

sh ./recipe/run.sh

3. Output figure/results:

Once get all results in ./output All figures in the paper were painted in:

./src/precision-recall.py

The figures/results should be reproduced. Cheers!

The output corresponding path

baseline-darpa:

./out/dataset_darpa-initSS_256-timeStep_60/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph-True_precision_recall_score

khop1-darpa:

./out/dataset_darpa-initSS_256-timeStep_60_subgraph_pattern_khop/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph_True-hop_k_1-strategy_mean_precision_recall_score

khop2-darpa:

./out/dataset_darpa-initSS_256-timeStep_60_subgraph_pattern_khop/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph_True-hop_k_2-strategy_mean_precision_recall_score

khop3-darpa:

./out/dataset_darpa-initSS_256-timeStep_60_subgraph_pattern_khop/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph_True-hop_k_3-strategy_mean_precision_recall_score

1-hop TC-darpa:

./out/dataset_darpa-initSS_256-timeStep_60_subgraph_pattern_triangle/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph_True-hop_k_1-strategy_mean_precision_recall_score

Hybrid TC-darpa:

./out/dataset_darpa-initSS_256-timeStep_60_subgraph_pattern_strong-all/
DynAnomPy-alpha_1.50e-01-epsilon_1.00e-02-track_mode_all-dim-1024-top_index_100-push_threshold-1.00e-04-make_directed_graph_False-make_multi_graph_True-hop_k_1-strategy_mean_precision_recall_score

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