MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs

Ni, Mingjian and Song, Yinghao and Wang, Gongju and Feng, Lanxiao and Li, Yang and Yan, Long and Li, Dazhong and Wang, Yanfei and Zhang, Shikun and Song, Yulun (2023) MIED : An Improved Graph Neural Network for Node Embedding in Heterogeneous Graphs. EAI Endorsed Transactions on Scalable Information Systems.

[thumbnail of 56476.pdf] PDF
56476.pdf

Download (1MB)

Abstract

This paper proposes a Metapath-Infused Exponential Decay graph neural network (MIED) approach for node embedding in heterogeneous graphs. It is designed to address limitations in existing methods, which usually lose the graph information during feature alignment and ignore the different importance o

Item Type: Article
Date Deposited: 04 Mar 2026 16:43
Last Modified: 11 Apr 2026 06:28
URI: http://eprints.eai.eu/id/eprint/45025

Actions (login required)

View Item
View Item