利用粗图训练图神经网络实现网络对齐

钱峰, 张蕾, 赵姝, 陈洁

Training of graph neural networks on coarsening graphs for network alignment

Feng Qian, Lei Zhang, Shu Zhao, Jie Chen

表6 flickr/lastfm数据集上FAROS算法与对比算法的

P r e c i s i o n @ K

对比

Table 6

P r e c i s i o n @ K

of FAROS and baselines on the flickr/lastfm dataset

$P r e c i s i o n @ K$	1	5	10	15	20	25	30
REGAL	0.0000	0.0022	0.0067	0.0177	0.0244	0.0443	0.0554
GAlign	0.0044	0.0044	0.0155	0.0200	0.0244	0.0310	0.0377
NAWAL	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
WAlign	0.0000	0.0044	0.0133	0.0200	0.0266	0.0310	0.0377
Grad⁃Align	0.0044	0.0288	0.0510	0.0710	0.0953	0.1153	0.1397
FAROS	0.0133	0.0355	0.0732	0.1109	0.1463	0.1840	0.1973