Ultrahyperbolic Knowledge Graph Embeddings
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
摘要
Recent knowledge graph (KG) embeddings have been advanced by hyperbolic geometry due to its superior capability for representing hierarchies. The topological structures of real-world KGs, however, are rather heterogeneous, i.e., a KG is composed of multiple distinct hierarchies and non-hierarchical graph structures. Therefore, a homogeneous (either Euclidean or hyperbolic) geometry is not sufficient for fairly representing such heterogeneous structures. To capture the topological heterogeneity of KGs, we present an ultrahyperbolic KG embedding (UltraE) in an ultrahyperbolic (or pseudo-Riemannian) manifold that seamlessly interleaves hyperbolic and spherical manifolds. In particular, we model each relation as a pseudo-orthogonal transformation that preserves the pseudo-Riemannian bilinear form. The pseudo-orthogonal transformation is decomposed into various operators (i.e., circular rotations, reflections and hyperbolic rotations), allowing for simultaneously modeling heterogeneous structures as well as complex relational patterns. Experimental results on three standard KGs show that UltraE outperforms previous Euclidean-and hyperbolic-based approaches. CCS CONCEPTS • Computing methodologies → Knowledge representation and reasoning; Semantic networks.
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引用它的顶会 Paper9
- Self-Supervised Continual Graph Learning in Adaptive Riemannian SpacesLi Sun, Junda Ye, Hao Peng, Feiyang Wang 等AAAI 2023 · 被引用 49 次
- Pseudo-Riemannian Graph Convolutional NetworksBo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan 等NeurIPS 2022 · 被引用 45 次
- Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionLinhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui PanSIGIR 2023 · 被引用 42 次
- Hyperbolic Representation Learning: Revisiting and AdvancingMenglin Yang, Min Zhou, Rex Ying, Yankai Chen 等ICML 2023 · 被引用 41 次
- Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding ModelsCosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen StaabWWW 2023 · 被引用 37 次
它引用的顶会 Paper7
- Dual Quaternion Knowledge Graph EmbeddingsZongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao 等AAAI 2021 · 被引用 186 次
- Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph CompletionShen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang 等WWW 2021 · 被引用 122 次
- Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic ConesYushi Bai, Zhitao Ying, Hongyu Ren, Jure LeskovecNeurIPS 2021 · 被引用 84 次
- Low-Dimensional Hyperbolic Knowledge Graph EmbeddingsInes Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala 等ACL 2020 · 被引用 48 次
- Ultrahyperbolic Representation LearningMarc T. Law, Jos StamNeurIPS 2020 · 被引用 28 次
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