Research Article

Context Attention Heterogeneous Network Embedding

Table 4

AUC scores on Zhihu.

% training edges15%25%35%45%55%65%75%85%95%

DeepWalk0.4690.4720.4970.5070.5330.5370.5560.5740.587
LINE0.5210.5690.6180.6240.6550.6360.6460.6760.698
Node2vec0.4880.4820.5070.5050.5520.5460.5580.5820.590
GraRep0.5830.6190.6420.6590.6540.6620.6630.6680.663
Naive Combination0.5240.5530.5790.6180.6530.6720.6890.7050.703
TADW0.5580.5760.5930.6250.6550.6970.6960.7230.729
TENE0.5510.5490.6070.6220.6600.6660.6680.6920.711
ASNE0.5860.5630.6080.6330.6610.6820.6990.7000.728
CAHNE(w/o context)0.5950.6000.6030.6040.6120.6180.6390.6570.679
CAHNE0.6230.6930.7060.7090.7070.7110.7130.7220.731
CAHNE-a0.6310.7070.7210.7240.7230.7270.7360.7480.759