Work

Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification

Year: 2024

Type: article

Source: ACM Transactions on Knowledge Discovery from Data

DOI: 10.1145/3707645

Authors: Li Ma, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong

Institutions: Shanghai Jiao Tong University, Ant Group (China), Guangzhou University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G4356175125, G8772480096

OpenAlex ID: W4405674525

FWCI: 0.295

Cites: 34

Cited by: 2

Related to: 10