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Gaoyang Li

2 accepted papers

2026

Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering

AAAI 2026technical

Partially View-aligned Clustering (PVC) addresses the challenge of partial view alignment in multi-view learning by leveraging complementary and consistent information. While existing PVC methods show promise, most rely on distance-based strategies that are sensitive to view-specific details and noi

Cited by 0SourcePDFScholar
2025

Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs

AAAI 2025technical

In recent years, methods based on heterogeneous graph neural networks (HGNNs) have been widely used for embedding heterogeneous graphs (HGs) due to their ability to effectively encode the rich information from HGs into low-dimensional node embeddings. Existing HGNNs focus on neighbor aggregation and…