Scalable Graph Hashing with Feature Transformation Experiment Top-1k Precision Method 32 bits 64 bits 96 bits 128 bits 256 bits SGH 0.4697 0.5742 0.6299 0.6737 0.7357 ITQ 0.4289 0.4782 0.4947 0.4986 0.5003 AGH 0.3973 0.4402 0.4577 0.4654 0.4767 DGH-I 0.3974 0.4536 0.4737 0.4874 0.4969 DGH-R 0.3793 0.4554 0.4871 0.4989 0.5276 PCAH 0.2457 0.2203 0.2000 0.1836 0.1421 LSH 0.2507 0.3575 0.4122 0.4529 0.5212 Method 32 bits 64 bits 96 bits 128 bits 256 bits SGH 0.4919 0.6041 0.6677 0.6985 0.7584 ITQ 0.5177 0.5776 0.5999 0.6096 0.6228 AGH 0.4299 0.4741 0.4911 0.4998 0.506 DGH-I 0.4299 0.4806 0.5001 0.5111 0.5253 DGH-R 0.4121 0.4776 0.5054 0.5196 0.5428 PCAH 0.2720 0.2384 0.2141 0.1950 0.1508 LSH 0.2597 0.3995 0.466 0.5160 0.6072 Li (http://cs.nju.edu.cn/lvj) Learning to Hash LAMDA.CS.NJU 33/43Scalable Graph Hashing with Feature Transformation Experiment Top-1k Precision Method 32 bits 64 bits 96 bits 128 bits 256 bits SGH 0.4697 0.5742 0.6299 0.6737 0.7357 ITQ 0.4289 0.4782 0.4947 0.4986 0.5003 AGH 0.3973 0.4402 0.4577 0.4654 0.4767 DGH-I 0.3974 0.4536 0.4737 0.4874 0.4969 DGH-R 0.3793 0.4554 0.4871 0.4989 0.5276 PCAH 0.2457 0.2203 0.2000 0.1836 0.1421 LSH 0.2507 0.3575 0.4122 0.4529 0.5212 Method 32 bits 64 bits 96 bits 128 bits 256 bits SGH 0.4919 0.6041 0.6677 0.6985 0.7584 ITQ 0.5177 0.5776 0.5999 0.6096 0.6228 AGH 0.4299 0.4741 0.4911 0.4998 0.506 DGH-I 0.4299 0.4806 0.5001 0.5111 0.5253 DGH-R 0.4121 0.4776 0.5054 0.5196 0.5428 PCAH 0.2720 0.2384 0.2141 0.1950 0.1508 LSH 0.2597 0.3995 0.466 0.5160 0.6072 Li (http://cs.nju.edu.cn/lwj) Learning to Hash LAMDA, CS, NJU 33 / 43