Work

What Contributes More to the Robustness of Heterophilic Graph Neural Networks?

Year: 2025

Type: article

Source: IEEE Transactions on Systems Man and Cybernetics Systems

DOI: 10.1109/tsmc.2025.3548860

Authors: Junyuan Fang, Han Yang, Jiajing Wu, Zibin Zheng, Chi K. Tse

Institutions: City University of Hong Kong, Sun Yat-sen University

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: City University of Hong Kong, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Department of Education of Guangdong Province, Fundamental Research Funds for the Central Universities

Awards: G1954178617, G2092827959, G403273364, G4980977470, G7886642409

OpenAlex ID: W4408709169

FWCI: 1.649

Cites: 49

Cited by: 4

Related to: 10