Work

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning

Year: 2021

Type: article

Source: Neural Networks

DOI: 10.1016/j.neunet.2021.07.028

Authors: Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan

Institutions: University of Pittsburgh, Intel (United States), Lehigh University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: G3226045097, Bridges: From Communities and Data to Workflows and Insight

OpenAlex ID: W3186880433

FWCI: 1.823

Cites: 66

Cited by: 27

Related to: 10