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Found 5 papers, 4 papers with code
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
In this paper, we propose to adopt textual entailment to find implicit entailment relations between CSKG nodes, to effectively densify the subgraph connecting nodes within the same conceptual class, which indicates a similar level of plausibility.
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
However, the performance of the hyperbolic KG embedding models for non-transitive relations is still unpromising, while the complex hyperbolic embeddings do not deal with multi-relations.
Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning
Nevertheless, transitivity is a special property that cannot be modeled efficiently in the Euclidean space.
Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space
Specifically, we propose to learn the embeddings of hierarchically structured data in the unit ball model of the complex hyperbolic space.
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
Hierarchical text classification has many real-world applications.
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