notesum.ai

Published at December 9

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases

cs.LG

cs.AI

Released Date: December 9, 2024

Authors: Zhepeng Wang¹, Runxue Bao², Yawen Wu³, Guodong Liu⁴, Lei Yang⁵, Liang Zhan⁶, Feng Zheng², Weiwen Jiang⁴, Yanfu Zhang³

Aff.: ¹George Mason University; ²GE Healthcare; ³University of Pittsburgh; ⁴University of Maryland; ⁵Southern University of Science and Technology; ⁶William and Mary

Arxiv: http://arxiv.org/pdf/2412.06212v1

Method	OASIS (DTI)			OASIS (fMRI)			ADNI-D (DTI)			ADNI-D (fMRI)
Method	ACC	AUC	F1	ACC	AUC	F1	ACC	AUC	F1	ACC	AUC	F1
GCN	0.6466	0.5246	0.4840	0.6245	0.5376	0.5003	0.5765	0.4642	0.4619	0.5618	0.4978	0.5301
MM-GCN (ours)	0.7141	0.5220	0.5639	0.7387	0.5774	0.5962	0.6294	0.5629	0.6133	0.6235	0.5852	0.6111
MM-GCN-F (ours)	0.7362	0.5381	0.5805	0.7436	0.5774	0.5989	0.6471	0.5821	0.6406	0.6441	0.5936	0.6367
GINE	0.7448	0.5238	0.5332	0.6405	0.5476	0.5251	0.5765	0.5966	0.5242	0.5676	0.5862	0.5439
MM-GINE (ours)	0.7521	0.5777	0.6004	0.7558	0.5641	0.5939	0.6706	0.6286	0.6610	0.6765	0.6450	0.6671
MM-GINE-F (ours)	0.7926	0.5733	0.6245	0.7534	0.6030	0.6121	0.6853	0.6720	0.6774	0.6647	0.6716	0.6556
GAT	0.5975	0.5340	0.4925	0.6847	0.4809	0.5184	0.5529	0.5300	0.4617	0.5824	0.4994	0.4512
MM-GAT (ours)	0.7436	0.6098	0.5983	0.7632	0.5828	0.6040	0.6588	0.6164	0.6354	0.6559	0.6072	0.6252
MM-GAT-F (ours)	0.7460	0.6085	0.6022	0.7779	0.6008	0.6143	0.6706	0.6204	0.6557	0.6618	0.6102	0.6446