MetaHGNIE: Novel Contrastive Learning for Heterogeneous Knowledge Graphs
Published:Dec 13, 2025 22:21
•1 min read
•ArXiv
Analysis
This article introduces a new contrastive learning method, MetaHGNIE, for heterogeneous knowledge graphs. The focus on meta-path induced hypergraphs suggests a novel approach to capturing complex relationships within the data.
Key Takeaways
Reference
“Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs”