Masked autoencoders for contrastive learning of heterogenous graphs

• Main Author: Srinthi Nachiyar D/O Thangamuthu
• Other Authors: Lihui Chen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Heterogenous graph masked autoencoder
• Online Access: https://hdl.handle.net/10356/176838
• Institution: Nanyang Technological University

In this data driven society, information networks are mostly heterogenous which consists of different types of entities and relationships. Heterogenous Graph Neural Networks utilize Heterogenous graphs to study and understand the data. Since Heterogenous Graph Neural Network uses semi-supervised lea...