Node Classification on Kindle benchmark leaderboard · SOTA2 Research

Node Classification on Kindle

88.54F1 (AP)joint train

Evaluation Results

Method	Links
joint train2024.01		88.54	0.35	82.71	0.62
joint train2024.01		87.21	0.45	—	—
joint train2024.01		87.21	0.45	80.98	1.17
TACO2024.01		83.66	4.69	76.58	6.34
TACO2024.01		82.97	4.91	—	—
TACO2024.01		82.97	4.91	76.43	6.31
SSM2024.01		81.84	6.58	74.64	8.81
SSM2024.01		78.99	8.19	—	—
SSM2024.01		78.99	8.19	72.95	8.72
EWC2024.01		78.95	9.92	73.49	10.3
TWP2024.01		78.9	8.99	—	—
TWP2024.01		78.9	8.99	73.16	9.62
ERGNN-rs2024.01		78.64	9.56	72.19	10.7
TWP2024.01		78.17	10.85	73.23	10.78
ERGNN-mf2024.01		78.14	10.35	72.94	10.9
SSRM2024.01		78.09	10.2	71.99	11.17
ERGNN-rs2024.01		77.63	9.64	—	—
ERGNN-rs2024.01		77.63	9.64	70.87	10.83
SSRM2024.01		77.37	9.99	—	—
SSRM2024.01		77.37	9.99	71.46	10.55
ERGNN-mf2024.01		77.28	10.15	—	—
ERGNN-mf2024.01		77.28	10.15	72.23	10.27
EWC2024.01		77.08	10.87	—	—
EWC2024.01		77.08	10.87	72.13	10.75
GEM2024.01		76.46	11.86	72.52	10.97
GEM2024.01		76.08	11.01	—	—
GEM2024.01		76.08	11.01	71.77	10.13
ERGNN-rb2024.01		75.87	11.46	—	—
ERGNN-rb2024.01		75.87	11.46	71.44	10.98
ERGNN-rb2024.01		75.6	12.66	71.86	11.55
IncreGNN2024.01		70.66	18.18	68.06	15.92
DyGrain2024.01		70.65	18.28	68.16	15.77
OTG2024.01		70.09	18.78	67.5	16.53
IncreGNN2024.01		69.45	18.48	—	—
IncreGNN2024.01		69.45	18.48	67.07	15.86
DyGrain2024.01		69.14	18.88	—	—
DyGrain2024.01		69.14	18.88	66.44	16.48
finetune2024.01		69.1	18.99	—	—
finetune2024.01		69.1	18.99	67.12	16.01
OTG2024.01		69.01	18.94	—	—
OTG2024.01		69.01	18.94	66.69	16.26
simple-reg2024.01		68.8	18.21	—	—
simple-reg2024.01		68.8	18.21	66.85	14.79
finetune2024.01		68.68	20.05	66.89	16.91
simple-reg2024.01		66.2	19.26	64.61	15.24