5 papers
RelBall: Relation Ball with Quaternion Rotation for Knowledge Graph Completion
Yike Liu, Peijia Xie, Chao He +1
Real-world knowledge graphs are often incomplete, lacking many valid facts. Knowledge Graph Completion (KGC) aims to predict missing links using known triples, thereby enhancing gr…
TeRoR: Decoupled Temporal Rotation with Relational Circular Region for Temporal Knowledge Graph Embedding
Peijia Xie, Yike Liu, Chao He +1
In recent years, with the emergence of Temporal Knowledge Graphs (TKGs), research on learning entity and relation representations in TKGs has attracted increasing attention, giving…
CORE: Cyclic Orthotope Relation Embedding for Knowledge Graph Completion
Yingqi Zeng, Luying Wang, Huiling Zhu
Knowledge graph completion (KGC) aims to automatically infer missing facts in multi-relational data by mapping entities and relations into continuous representation spaces. Recent…
Dual Graph Representation Learning
Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
Graph representation learning embeds nodes in large graphs as low-dimensional vectors and is of great benefit to many downstream applications. Most embedding frameworks, however, a…
Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules
Mengya Wang, Hankui Zhuo, Huiling Zhu
Representation learning of knowledge graphs encodes entities and relation types into a continuous low-dimensional vector space, learns embeddings of entities and relation types. Mo…