Datasets:
implemented graph style selection from PyVis and NetworkX
Browse files
viewer.py
CHANGED
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@@ -3,10 +3,12 @@ from __future__ import annotations
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import json
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from pathlib import Path
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import streamlit as st
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import torch
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from torch_geometric.data import Data
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from torch_geometric.utils import is_undirected
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DATA_DIR = Path("data")
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DEFAULT_SUBSETS = ("ba_shapes", "tree_cycle", "tree_grid", "ba_two_motifs")
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@@ -137,6 +139,47 @@ def _graph_html(graph: Data, layout_seed: int) -> str:
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return net.generate_html()
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def main() -> None:
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st.set_page_config(page_title="MotifQA Graph Viewer", layout="wide")
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st.title("MotifQA Graph Viewer")
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@@ -174,14 +217,22 @@ def main() -> None:
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value=0,
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step=1,
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)
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example = examples[sample_idx]
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graph = _build_graph(example)
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left, right = st.columns([2, 1])
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with left:
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with right:
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st.subheader("Sample details")
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import json
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from pathlib import Path
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import matplotlib.pyplot as plt
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import networkx as nx
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import streamlit as st
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import torch
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from torch_geometric.data import Data
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from torch_geometric.utils import is_undirected, to_networkx
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DATA_DIR = Path("data")
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DEFAULT_SUBSETS = ("ba_shapes", "tree_cycle", "tree_grid", "ba_two_motifs")
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return net.generate_html()
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def _plot_graph(graph: Data, layout_seed: int) -> plt.Figure:
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if not is_undirected(graph.edge_index):
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raise ValueError("The generated graph is not undirected.")
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G = to_networkx(graph, to_undirected=True)
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pos = nx.spring_layout(G, seed=layout_seed)
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node_mask = getattr(graph, "node_mask", None)
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motif_nodes = node_mask.nonzero(as_tuple=True)[0].tolist()
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normal_nodes = [n for n in G.nodes if n not in motif_nodes]
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fig, ax = plt.subplots(figsize=(6, 6))
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nx.draw_networkx_nodes(G, pos, nodelist=normal_nodes, node_color="skyblue", node_size=120, ax=ax)
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nx.draw_networkx_nodes(G, pos, nodelist=motif_nodes, node_color="orange", node_size=120, ax=ax)
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nx.draw_networkx_edges(G, pos, alpha=0.3, ax=ax)
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labels = {n: str(n) for n in G.nodes()}
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if normal_nodes:
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nx.draw_networkx_labels(
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G,
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pos,
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labels={n: labels[n] for n in normal_nodes},
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font_size=10,
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font_color="black",
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ax=ax,
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)
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if motif_nodes:
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nx.draw_networkx_labels(
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G,
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pos,
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labels={n: labels[n] for n in motif_nodes},
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font_size=10,
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font_color="black",
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ax=ax,
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)
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ax.axis("off")
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fig.tight_layout()
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return fig
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def main() -> None:
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st.set_page_config(page_title="MotifQA Graph Viewer", layout="wide")
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st.title("MotifQA Graph Viewer")
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value=0,
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step=1,
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)
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st.sidebar.divider()
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st.sidebar.markdown("### Visualization Settings")
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viz_method = st.sidebar.radio("Visualization method", ["Interactive (PyVis)", "Static (NetworkX)"], index=0)
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example = examples[sample_idx]
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graph = _build_graph(example)
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left, right = st.columns([2, 1])
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with left:
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if viz_method == "Static (NetworkX)":
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layout_seed = st.sidebar.number_input("Layout seed", min_value=0, value=42, step=1)
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fig = _plot_graph(graph, layout_seed=layout_seed)
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st.pyplot(fig, clear_figure=True)
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plt.close(fig)
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else:
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html = _graph_html(graph, layout_seed=42)
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st.components.v1.html(html, height=700, scrolling=True)
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with right:
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st.subheader("Sample details")
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