Multi-level feature subgraph aggregation graph neural network

Open Webpage

Chengxin Xie, Qiya Song, Jingui Huang, Wei Chen, Liangrui Pan

Published: 2025, Last Modified: 04 Nov 2025Inf. Fusion 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We propose a model that considers both isomorphic and heterogeneous subgraphs.•We present a multi-view approach that leverages high-level graph information.•The model serves as a versatile framework, providing strong performance across various tasks.