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| -rw-r--r-- | paper/figures/barabasi_albert.pdf | bin | 30634 -> 13530 bytes | |||
| -rw-r--r-- | paper/figures/kronecker_l2_norm.pdf | bin | 30708 -> 29653 bytes | |||
| -rw-r--r-- | paper/figures/kronecker_l2_norm_nonsparse.pdf | bin | 30729 -> 29643 bytes | |||
| -rw-r--r-- | paper/figures/watts_strogatz.pdf | bin | 30785 -> 13563 bytes | |||
| -rw-r--r-- | paper/sections/experiments.tex | 14 | ||||
| -rw-r--r-- | src/make_plots.py | 13 |
6 files changed, 16 insertions, 11 deletions
diff --git a/paper/figures/barabasi_albert.pdf b/paper/figures/barabasi_albert.pdf Binary files differindex 98532f4..a7ad5a0 100644 --- a/paper/figures/barabasi_albert.pdf +++ b/paper/figures/barabasi_albert.pdf diff --git a/paper/figures/kronecker_l2_norm.pdf b/paper/figures/kronecker_l2_norm.pdf Binary files differindex 5177233..0e119f1 100644 --- a/paper/figures/kronecker_l2_norm.pdf +++ b/paper/figures/kronecker_l2_norm.pdf diff --git a/paper/figures/kronecker_l2_norm_nonsparse.pdf b/paper/figures/kronecker_l2_norm_nonsparse.pdf Binary files differindex 18ceabf..1a440c5 100644 --- a/paper/figures/kronecker_l2_norm_nonsparse.pdf +++ b/paper/figures/kronecker_l2_norm_nonsparse.pdf diff --git a/paper/figures/watts_strogatz.pdf b/paper/figures/watts_strogatz.pdf Binary files differindex ddaa525..2ffd642 100644 --- a/paper/figures/watts_strogatz.pdf +++ b/paper/figures/watts_strogatz.pdf diff --git a/paper/sections/experiments.tex b/paper/sections/experiments.tex index 701d5e7..fc98fb9 100644 --- a/paper/sections/experiments.tex +++ b/paper/sections/experiments.tex @@ -8,13 +8,15 @@ \begin{table*}[t] \centering \begin{tabular}{c c c} -\includegraphics[scale=.3]{figures/barabasi_albert.pdf} -& \includegraphics[scale=.3]{figures/watts_strogatz.pdf} -& \includegraphics[scale=.3]{figures/ROC_curve.pdf} \\ +\includegraphics[scale=.28]{figures/barabasi_albert.pdf} +& \includegraphics[scale=.28]{figures/watts_strogatz.pdf} +& \includegraphics[scale=.28]{figures/ROC_curve.pdf} \\ + (a) Barabasi-Albert (F$1$ \emph{vs.} $n$) & (b) Watts-Strogatz (F$1$ \emph{vs.} $n$) & (c) Holme-Kim (Prec-Recall) \\ - \includegraphics[scale=.3]{figures/kronecker_l2_norm.pdf} -& \includegraphics[scale=.3]{figures/kronecker_l2_norm_nonsparse.pdf} -& \includegraphics[scale=.3]{figures/watts_strogatz_p_init.pdf} \\ + \includegraphics[scale=.28]{figures/kronecker_l2_norm.pdf} +& \includegraphics[scale=.28]{figures/kronecker_l2_norm_nonsparse.pdf} +& \includegraphics[scale=.28]{figures/watts_strogatz_p_init.pdf} \\ + (d) Sparse Kronecker ($\ell_2$-norm \emph{vs.} $n$ ) & (e) Non-sparse Kronecker ($\ell_2$-norm \emph{vs.} $n$) & (f) Watts-Strogatz (F$1$ \emph{vs.} $p_{\text{init}}$) \end{tabular} \captionof{figure}{Figures (a) and (b) report the F$1$-score in $\log$ scale diff --git a/src/make_plots.py b/src/make_plots.py index 9615d1b..85850b1 100644 --- a/src/make_plots.py +++ b/src/make_plots.py @@ -101,9 +101,10 @@ def plot_barabasi_albert_graph(): ax.plot(x, lasso, 'ko-', color="orange", label="Lasso") ax.plot(x, max_likel, 'ko-', color="cornflowerblue", label="MLE") ax.plot(x, sparse_recov, 'ko-', color="k", label="Our Method") - plt.legend(loc="lower right") + plt.legend(loc="lower right", fontsize=18) ax.set_xticks(x) ax.set_xticklabels(tuple(labels)) + plt.savefig("../paper/figures/"+"barabasi_albert.pdf") @@ -111,7 +112,7 @@ def plot_barabasi_albert_graph(): def plot_kronecker_l2norm(): plt.clf() fig = plt.figure(1) - x = [50, 100, 500, 1000, 2000] + x = [50, 150, 500, 1000, 2000] sparse_recov = [62, 60, 36, 28, 21] max_likel = [139, 101, 42, 31, 25] lasso = [50, 48, 33, 29, 23] @@ -130,14 +131,15 @@ def plot_kronecker_l2norm(): ax.plot(x, sparse_recov, 'ko-', color="k", label="Our Method") plt.legend(loc="upper right") ax.set_xticks(x) - ax.set_xticklabels(tuple(x)) + ax.set_xticklabels(tuple([50, 100, 500, 1000, 2000])) + ax.set_yticklabels(tuple(['', 20, 40, 60, 80, 100, 120, 140])) plt.savefig("../paper/figures/"+"kronecker_l2_norm.pdf") def plot_kronecker_l2norm_nonsparse(): plt.clf() fig = plt.figure(1) - x = [50, 100, 500, 1000, 2000] + x = [50, 150, 500, 1000, 2000] sparse_recov = [56, 55, 28, 21, 15] max_likel = [125, 80, 35, 25, 20] lasso = [47, 47, 27, 22, 17] @@ -156,7 +158,8 @@ def plot_kronecker_l2norm_nonsparse(): ax.plot(x, sparse_recov, 'ko-', color="k", label="Our Method") plt.legend(loc="upper right") ax.set_xticks(x) - ax.set_xticklabels(tuple(x)) + ax.set_xticklabels(tuple([50, 100, 500, 1000, 2000])) + ax.set_yticklabels(tuple(['', 20, 40, 60, 80, 100, 120, 140])) plt.savefig("../paper/figures/"+"kronecker_l2_norm_nonsparse.pdf") |