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Yudi Huang

2 accepted papers

2025

Multiplex Graph Representation Learning with Homophily and Consistency

AAAI 2025technical

Although unsupervised multiplex graph representation learning (UMGRL) has been a hot research topic, existing UMGRL methods still has limitations to be addressed. For example, previous works either preserve structural information by ignoring the impact of heterophily in the graph structure or only f…

Cited by 0SourcePDFScholar
2024

Multiplex Graph Representation Learning via Bi-level Optimization

IJCAI 2024poster

Many multiplex graph representation learning (MGRL) methods have been demonstrated to 1) ignore the globally positive and negative relationships among node features; and 2) usually utilize the node classification task to train both graph structure learning and representation learning parameters, and…

Cited by 1SourcePDFScholar