… The rapid development of knowledge graphs (KGs), such as … Most existing researches
are focusing on knowledge graph … structure. Indeed, relations in KGs conform to a three-layer …

… better performance so long as there exists semantic hierarchies in knowledge graphs. As
almost all knowledge graphs have such hierarchy structures, our model is widely applicable. …

… Illustration of the user-item bipartite interaction graph and knowledge graph used in this
paper (Best viewed in color). As illustrated, the bipartite interaction graph shares the same items …

… We evaluate the TKRL model on benchmark datasets of Freebase with knowledge graph …
Walking through the bottom-up path in hierarchical structure, we can get the representation …

… of an entity as a hierarchical structure. Figure 1 shows an … of e1 can be viewed as a hierarchical
structure, which is shown … Relational Graph neural network with Hierarchical ATtention (…

… model named TransRHS for representation learning of knowledge graphs with relation
hierarchical structure. More specifically, each relation in knowledge graph is encoded into a low-…

… In order to deal with the situation, we propose a novel Hierarchical Reinforcement Learning …
a Knowledge Graph automatically. Our framework is inspired by the hierarchical structure …

… • We discover the two-level hierarchical structure of the path information between a pair of
entities. • We propose HEAR, which is capable of making use of the hierarchical path structure …

… Some relationships have a hierarchical structure such as playsFor or actedIn, while others
… We consider a relation to be hierarchical when its corresponding graph is close to tree-like (…

… In addition, we propose a hierarchical aggregation architecture for capturing complicated
structures and rich semantics in heterogeneous KGs. SHGNet first aggregates each relation …