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#!/usr/bin/env python3
"""Figure 4-style combined plot: 4 panels (depth / add / remove / flip).
Each panel: 9 curves = 3 datasets × 3 methods.
color = dataset (Cora / CiteSeer / PubMed)
linestyle = method (BP dashed, DFA-GNN dotted, GRAFT solid)
Matches DFA-GNN Figure 4 layout.
"""
import json
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import to_rgba
from matplotlib.lines import Line2D
DATASETS = ['Cora', 'CiteSeer', 'PubMed']
METHODS = ['BP', 'DFA-GNN', 'GRAFT'] # data-lookup keys (unchanged)
DISPLAY_NAME = {'BP': 'BP', 'DFA-GNN': 'DFA-GNN', 'GRAFT': 'KAFT'}
DEPTHS = [4, 6, 8, 10, 12, 14, 16, 18, 20]
RATES = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
ATTACKS = ['add', 'remove', 'flip']
# Method colors — consistent with other GRAFT figures
METHOD_COLORS = {
'BP': '#888888', # gray
'DFA-GNN': '#3B7AC2', # complementary blue
'GRAFT': '#C23B3B', # brick red (ours)
}
# Dataset linestyles
DS_STYLE = {
'Cora': (0, ()), # solid
'CiteSeer': (0, (5, 2)), # dashed
'PubMed': (0, (1, 1.5)), # dotted
}
DS_MARKER = {
'Cora': 'o',
'CiteSeer': 's',
'PubMed': '^',
}
GRID_COLOR = '#ECEFF3'
TEXT_COLOR = '#2F3437'
# --- depth data sources (depth_sweep reuses gen_depth_sweep_fig loaders) -----
DEPTH_SOURCES = [
'results/combo_20seeds/per_seed_data.json',
'results/hero_extras_20seeds/per_seed_data.json',
'results/shallow_depth_20seeds/per_seed_data.json',
'results/bp_graft_depth_20seeds/per_seed_data.json',
'results/dfagnn_depth_20seeds/per_seed_data.json',
'results/dfagnn_resgcn_20seeds/per_seed_data.json',
'results/depth_extras_20seeds/per_seed_data.json', # L=14, 18
]
PERTURB_SOURCE = 'results/perturb_sweep_20seeds/per_seed_data.json'
def load_depth():
merged = {}
for path in DEPTH_SOURCES:
try:
with open(f'/home/yurenh2/graph-grape/{path}') as f:
d = json.load(f)
for k, v in d.items():
if k not in merged:
merged[k] = v
else:
for sk, sv in v.items():
if sk not in merged[k]:
merged[k][sk] = sv
except FileNotFoundError:
pass
return merged
def depth_lookup(data, ds, L, method):
for key in [f'{ds}_L{L}_{method}', f'{ds}_{method}' if L == 6 else None]:
if key and key in data and len(data[key]) >= 15:
vals = np.array(list(data[key].values())) * 100
return vals.mean(), vals.std()
return None
def perturb_lookup(data, ds, attack, rate, method):
key = f'{ds}_{attack}_r{rate}_{method}'
if key in data and len(data[key]) >= 15:
vals = np.array(list(data[key].values())) * 100
return vals.mean(), vals.std()
return None
def plot_panel(ax, panel_type, data, title):
"""panel_type: 'depth' or attack name."""
xs = DEPTHS if panel_type == 'depth' else RATES
for ds in DATASETS:
for method in METHODS:
means = []
stds = []
xs_used = []
for x in xs:
if panel_type == 'depth':
r = depth_lookup(data, ds, x, method)
else:
r = perturb_lookup(data, ds, panel_type, x, method)
if r is not None:
xs_used.append(x)
means.append(r[0])
stds.append(r[1])
if not means:
continue
color = METHOD_COLORS[method]
style = DS_STYLE[ds]
marker = DS_MARKER[ds]
ax.plot(xs_used, means, color=color, linestyle=style, marker=marker,
markersize=4.5, linewidth=1.3,
markerfacecolor=to_rgba(color, alpha=0.35),
markeredgecolor=color, markeredgewidth=0.7,
zorder=3)
# Shaded band (light)
means = np.array(means); stds = np.array(stds)
ax.fill_between(xs_used, means - stds, means + stds,
color=color, alpha=0.06, edgecolor='none', zorder=1)
ax.set_title(title, fontsize=10, color=TEXT_COLOR, pad=5)
ax.grid(axis='both', color=GRID_COLOR, linewidth=0.6)
ax.set_axisbelow(True)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#C9CDD3')
ax.spines['bottom'].set_color('#C9CDD3')
ax.tick_params(colors=TEXT_COLOR)
if panel_type == 'depth':
ax.set_xticks(DEPTHS)
ax.set_xlabel('Number of layers $L$', fontsize=9, color=TEXT_COLOR)
else:
ax.set_xticks(RATES)
ax.set_xlabel('Perturbation rate $\\lambda$', fontsize=9, color=TEXT_COLOR)
def main():
depth_data = load_depth()
with open(f'/home/yurenh2/graph-grape/{PERTURB_SOURCE}') as f:
perturb_data = json.load(f)
plt.rcParams.update({
'font.size': 9,
'axes.labelsize': 9,
'xtick.labelsize': 8,
'ytick.labelsize': 8,
'legend.fontsize': 8,
'pdf.fonttype': 42,
'ps.fonttype': 42,
})
fig, axes = plt.subplots(1, 4, figsize=(13.5, 3.2))
plot_panel(axes[0], 'depth', depth_data, '(a) Depth')
plot_panel(axes[1], 'add', perturb_data, '(b) Add')
plot_panel(axes[2], 'remove', perturb_data, '(c) Remove')
plot_panel(axes[3], 'flip', perturb_data, '(d) Flip')
axes[0].set_ylabel('Test accuracy (%)', fontsize=9, color=TEXT_COLOR)
# Dual-legend: colors (methods) + linestyles (datasets)
method_handles = [Line2D([0], [0], color=METHOD_COLORS[m], linewidth=2.5,
label=DISPLAY_NAME[m])
for m in METHODS]
ds_handles = [Line2D([0], [0], color='#444', linestyle=DS_STYLE[ds],
marker=DS_MARKER[ds], markersize=4.5,
linewidth=1.5, label=ds)
for ds in DATASETS]
fig.tight_layout(rect=(0.0, 0.09, 1.0, 1.0), w_pad=1.3)
fig.legend(handles=method_handles, loc='lower left', bbox_to_anchor=(0.08, -0.01),
frameon=False, ncol=3, handletextpad=0.5, columnspacing=1.5,
title='Method', title_fontsize=9)
fig.legend(handles=ds_handles, loc='lower right', bbox_to_anchor=(0.92, -0.01),
frameon=False, ncol=3, handletextpad=0.5, columnspacing=1.5,
title='Dataset', title_fontsize=9)
fig.savefig('/home/yurenh2/graph-grape/kaft_fig4_combined.png',
dpi=300, bbox_inches='tight')
fig.savefig('/home/yurenh2/graph-grape/kaft_fig4_combined.pdf',
bbox_inches='tight')
plt.close(fig)
print('Saved /home/yurenh2/graph-grape/kaft_fig4_combined.{png,pdf}')
if __name__ == '__main__':
main()
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