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5 flickr/myspace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 5

P r e c i s i o n @ K

of FAROS and baselines on the flickr/myspace dataset

$P r e c i s i o n @ K$	1	5	10	15	20	25	30
REGAL	0.0037	0.0112	0.0112	0.0225	0.0375	0.0562	0.0562
GAlign	0.0000	0.0075	0.0187	0.0375	0.0449	0.0487	0.0674
NAWAL	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
WAlign	0.0037	0.0075	0.0375	0.0412	0.0524	0.0787	0.0861
Grad⁃Align	0.0075	0.0112	0.0150	0.0225	0.0412	0.0524	0.0562
FAROS	0.0112	0.0262	0.0487	0.0562	0.0824	0.0974	0.1049