notesum.ai

Published at November 19

MLDGG: Meta-Learning for Domain Generalization on Graphs

cs.AI

Released Date: November 19, 2024

Authors: Qin Tian¹, Chen Zhao², Minglai Shao³, Wenjun Wang¹, Yujie Lin³, Dong Li²

Aff.: ¹College of Intelligence and Computing, Tianjin University; ²Department of Computer Science, Baylor University; ³School of New Media and Communication, Tianjin University

Arxiv: http://arxiv.org/abs/2411.12913v1

Methods	S1T2 (WebKB $\rightarrow$ Twitch)								S1T2 (WebKB $\rightarrow$ FB-100)
Methods	PTBR	TW	RU	ES	FR	ENGB	DE	Avg	Amherst	Johns	Reed	Cornell	Yale	Avg
GraphGlow [28]	$65.4\pm 1.1$	$60.7\pm 1.3$	$75.4\pm 0.9$	70.7 $\pm 0.3$	$63.1\pm 1.2$	$54.5\pm 0.2$	$60.4\pm 0.5$	$64.3$	$52.7\pm 1.8$	$51.3\pm 1.0$	$61.7\pm 1.2$	$51.3\pm 1.5$	$52.4\pm 1.3$	$53.8$
MD-Gram [57]	$64.3\pm 0.4$	$57.8\pm 0.3$	$72.0\pm 0.4$	$70.7\pm 0.8$	$61.4\pm 0.5$	$52.2\pm 0.6$	$58.9\pm 0.5$	$62.5$	$51.1\pm 0.4$	$48.0\pm 0.3$	$62.9\pm 0.6$	$48.7\pm 0.3$	$44.2\pm 0.6$	$51.0$
GMeta [44]	$12.7\pm 2.1$	$23.5\pm 1.3$	$28.9\pm 1.4$	$30.8\pm 1.7$	$13.0\pm 2.1$	$15.2\pm 1.8$	$19.3\pm 1.2$	$22.3$	$29.7\pm 1.5$	$26.6\pm 2.0$	$19.8\pm 0.9$	$21.5\pm 1.8$	$20.4\pm 1.2$	$23.6$
FLOOD [15]	$10.0\pm 0.3$	$28.5\pm 0.4$	$28.1\pm 0.3$	$31.4\pm 0.2$	$20.9\pm 0.1$	$11.8\pm 0.2$	$16.7\pm 0.5$	$21.0$	$40.7\pm 1.0$	$39.9\pm 0.4$	$39.0\pm 0.3$	$45.5\pm 0.4$	$41.2\pm 0.8$	$41.3$
EERM [16]	$10.1\pm 3.3$	$31.1\pm 2.5$	$30.8\pm 2.7$	$34.1\pm 2.9$	$22.8\pm 3.5$	$13.9\pm 2.1$	$15.4\pm 0.8$	$22.6$	$42.8\pm 2.7$	$41.4\pm 2.6$	$40.6\pm 2.8$	$49.1\pm 3.5$	$43.8\pm 2.6$	$43.5$
SRGNN [63]	$11.2\pm 0.9$	$29.6\pm 1.4$	$28.5\pm 1.7$	$31.9\pm 2.0$	$24.1\pm 2.2$	$13.4\pm 1.3$	$16.1\pm 1.0$	$22.1$	$21.2\pm 1.8$	$19.6\pm 1.7$	$18.3\pm 0.9$	$20.9\pm 1.7$	$21.6\pm 1.5$	$20.3$
Mixup [65]	$12.0\pm 1.3$	$27.5\pm 1.7$	$27.9\pm 1.6$	$31.4\pm 1.5$	$25.0\pm 1.9$	$14.2\pm 1.6$	$16.3\pm 1.0$	$22.0$	$32.6\pm 2.0$	$31.7\pm 1.2$	$29.9\pm 0.8$	$32.0\pm 1.9$	$30.1\pm 1.6$	$31.3$
ERM [66]	$34.5\pm 2.9$	$10.5\pm 0.4$	$41.1\pm 4.8$	$20.7\pm 3.3$	$16.8\pm 0.2$	$12.6\pm 0.2$	$15.0\pm 0.1$	$21.7$	$40.9\pm 2.6$	$46.0\pm 2.1$	$40.5\pm 2.4$	$42.1\pm 2.6$	$44.4\pm 3.8$	$42.7$
MLDGG	$66.2\pm 0.3$	$61.8\pm 0.1$	$75.9\pm 0.2$	$71.3\pm 0.2$	$63.9\pm 0.1$	$55.1\pm 0.3$	$60.3\pm 0.3$	$64.9$	$55.7\pm 0.1$	$51.5\pm 0.2$	$65.0\pm 0.1$	$53.1\pm 0.4$	$53.5\pm 0.2$	$55.8$
MLDGG-ind	66.8 $\pm$ 0.5	61.8 $\pm$ 0.2	76.5 $\pm$ 0.2	71.8 $\pm$ 0.1	63.9 $\pm$ 0.1	55.2 $\pm$ 0.4	61.1 $\pm$ 0.2	65.3	55.7 $\pm$ 0.3	51.7 $\pm$ 0.6	65.0 $\pm$ 0.4	53.9 $\pm$ 0.6	53.6 $\pm$ 0.5	56.0