Spaces:
Sleeping
Sleeping
File size: 6,817 Bytes
a1f356b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 |
import os
import json
import networkx as nx
import streamlit as st
from st_link_analysis import st_link_analysis, NodeStyle, EdgeStyle
from st_link_analysis.component.layouts import LAYOUTS
from datasets import load_dataset
LAYOUT_NAMES = list(LAYOUTS.keys())
st.set_page_config(layout="wide")
# Sample Data
elements = {
"nodes": [
{"data": {"id": 1, "label": "Node", "name": "Streamlit"}},
{"data": {"id": 2, "label": "PERSON", "name": "Hello"}},
{"data": {"id": 3, "label": "Node", "name": "World"}},
{"data": {"id": 4, "label": "POST", "content": "x"}},
{"data": {"id": 5, "label": "POST", "content": "y"}},
],
"edges": [
{"data": {"id": 6, "label": "FOLLOWS", "source": 1, "target": 2}},
{"data": {"id": 7, "label": "FOLLOWS", "source": 2, "target": 3}},
{"data": {"id": 8, "label": "POSTED", "source": 3, "target": 4}},
{"data": {"id": 9, "label": "POSTED", "source": 1, "target": 5}},
{"data": {"id": 10, "label": "QUOTES", "source": 5, "target": 4}},
],
}
# Style node & edge groups
node_styles = [
NodeStyle("Node", "#FF7F3E", "name"),
]
edge_styles = [
EdgeStyle("RED", "#FFB6C1", directed=False),
EdgeStyle("BLUE", "#87CEEB", directed=False),
]
# Render the component
@st.cache_data
def load_graphs(graphset_name: str):
graphs = nx.read_graph6(f"data/{graphset_name}")
return graphs
@st.cache_data
def load_graphs_from_dataset(graphset_name: str):
dataset = load_dataset("linxy/RamseyGraph", graphset_name, trust_remote_code=True)
return list(dataset["train"])
_FILENAMES = [
"r34_8",
"r35_12",
"r44_3",
"r37_22",
"r35_9",
"r44_7",
"r39_35",
"r45_24",
"r44_6",
"r44_11",
"r35_13",
"r44_2",
"r44_13",
"r35_8",
"r44_9",
"r34_2",
"r35_3",
"r36_4",
"r44_14",
"r34_6",
"r37_21",
"r35_7",
"r44_15",
"r34_7",
"r36_1",
"r35_6",
"r44_12",
"r36_17",
"r44_10",
"r44_8",
"r34_3",
"r35_2",
"r36_5",
"r44_16",
"r34_4",
"r36_16",
"r36_2",
"r35_5",
"r36_14",
"r35_1",
"r36_6",
"r36_10",
"r34_1",
"r36_7",
"r44_17",
"r36_12",
"r34_5",
"r38_27",
"r36_3",
"r35_4",
"r36_15",
"r44_5",
"r36_8",
"r55_42some",
"r35_10",
"r44_1",
"r35_11",
"r36_13",
"r46_35some",
"r44_4",
"r36_11",
"r36_9",
]
def convert_graph_to_json(G, show_blue):
# 创建元素列表，存储节点和边的数据
elements = {"nodes": [], "edges": []}
# 遍历图的所有节点并将其添加到elements["nodes"]
for node in G.nodes(data=True):
# 假设你想为节点提供一个简单的 "label" 和 "name"
# 可以根据需求自定义数据结构
elements["nodes"].append(
{
"data": {
"id": str(node[0]),
"label": node[1].get("label", f"Node"), # 可根据实际属性设置
"name": node[1].get("name", f"Node{node[0]}"),
}
}
)
# 遍历图的所有边并将其添加到elements["edges"]
edge_set = set()
for i, edge in enumerate(G.edges(data=True)):
elements["edges"].append(
{
"data": {
"id": str(i + len(G.nodes)), # 确保edge的id与node的id不冲突
"label": edge[2].get("label", f"RED"),
"source": str(edge[0]),
"target": str(edge[1]),
}
}
)
edge_set.add((str(edge[0]), str(edge[1])))
if show_blue:
for i in range(len(G.nodes)):
for j in range(i+1, len(G.nodes)):
if (str(i), str(j)) in edge_set:
continue
elements["edges"].append(
{
"data": {
"id": str(len(G.nodes) + len(G.edges) + i*(len(G.nodes)) + j), # 确保edge的id与node的id不冲突
"label": "BLUE",
"source": str(i),
"target": str(j),
}
}
)
return elements
def convert_data_to_elements(G, show_blue):
elements = {"nodes": [], "edges": []}
for node in range(G['num_nodes']):
elements["nodes"].append(
{
"data": {
"id": str(node),
"label": "Node",
"name": f"Node {node}",
}
}
)
edge_set = set()
for i, (source, target) in enumerate(G["edges"]):
elements["edges"].append(
{
"data": {
"id": str(G['num_nodes'] + i),
"label": "RED",
"source": str(source),
"target": str(target),
}
}
)
edge_set.add((str(source), str(target)))
if show_blue:
for i in range(G['num_nodes']):
for j in range(i+1, G['num_nodes']):
if (str(i), str(j)) in edge_set:
continue
elements["edges"].append(
{
"data": {
"id": str(G['num_nodes'] + len(G["edges"]) + i*(G['num_nodes']) + j), # 确保edge的id与node的id不冲突
"label": "BLUE",
"source": str(i),
"target": str(j),
}
}
)
return elements
with st.sidebar:
st.title("Ramsey Graph")
# graphset_name = st.selectbox("R(s,t)_n", os.listdir("data"), index=0)
# dataset = load_dataset("linxy/RamseyGraph", graphset_name, trust_remote_code=True)
# graphs = load_graphs(graphset_name)
graphset_name = st.selectbox("R(s,t)_n", _FILENAMES, index=0)
graphs = load_graphs_from_dataset(graphset_name)
G = st.radio("G", graphs, index=0, format_func=lambda x: f"Graph with {x['num_nodes']} nodes and {len(x['edges'])} edges")
st.markdown("## Visualization Settings")
layout = st.selectbox("Layout Name", LAYOUT_NAMES, index=4)
show_blue = st.checkbox("Show Blue Edges", True)
st.markdown("## Graph Data")
elements = convert_data_to_elements(G, show_blue)
st.json(elements)
# print(json.dumps(elements, ensure_ascii=False, indent=2))
st.markdown("# Ramsey Graph")
s, t = graphset_name[1], graphset_name[2]
st.markdown(f"the graph does not contain a clique of size {s} (RED) or an independent set of size {t} (BLUE)")
st_link_analysis(elements, layout, node_styles, edge_styles)
|