How GATNE Advances Heterogeneous Graph Embedding with Edge Types and Node Features

This article introduces GATNE, a graph embedding framework that jointly models heterogeneous nodes, multiple edge types, and rich node attributes using base and edge embeddings, self‑attention, and inductive learning, and demonstrates its superior performance on several real‑world datasets.

GATNESelf-Attentiongraph embedding

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How GATNE Advances Heterogeneous Graph Embedding with Edge Types and Node Features