Decentralized Attention Network for Generating Robust Entity Embeddings in Open-World Knowledge Graphs

The core message of this paper is that by distributing the relational information of an entity exclusively over its neighbors, the proposed Decentralized Attention Network (DAN) can generate high-quality embeddings for both known and unknown entities in knowledge graphs.