Web: http://arxiv.org/abs/2112.09231

Sept. 19, 2022, 1:12 a.m. | Vinh Tong, Dai Quoc Nguyen, Dinh Phung, Dat Quoc Nguyen

cs.LG updates on arXiv.org arxiv.org

We present an effective GNN-based knowledge graph embedding model, named WGE,
to capture entity- and relation-focused graph structures. In particular, given
the knowledge graph, WGE builds a single undirected entity-focused graph that
views entities as nodes. In addition, WGE also constructs another single
undirected graph from relation-focused constraints, which views entities and
relations as nodes. WGE then proposes a GNN-based architecture to better learn
vector representations of entities and relations from these two single entity-
and relation-focused graphs. WGE feeds …

arxiv graph graph neural networks knowledge knowledge graph networks neural networks

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