Papers › Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

1 May 2020ACL 2020 6arXiv:2005.00545archive 2025-07-28

Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré

Knowledge graph (KG) embeddings learn low-dimensional representations of entities and relations to predict missing facts. KGs often exhibit hierarchical and logical patterns which must be preserved in the embedding space. For hierarchical data, hyperbolic embedding methods have shown promise for high-fidelity and parsimonious representations. However, existing hyperbolic embedding methods do not account for the rich logical patterns in KGs. In this work, we introduce a class of hyperbolic KG embedding models that simultaneously capture hierarchical and logical patterns. Our approach combines hyperbolic reflections and rotations with attention to model complex relational patterns. Experimental results on standard KG benchmarks show that our method improves over previous Euclidean- and hyperbolic-based efforts by up to 6.1% in mean reciprocal rank (MRR) in low dimensions. Furthermore, we observe that different geometric transformations capture different types of relations while attention-based transformations generalize to multiple relations. In high dimensions, our approach yields new state-of-the-art MRRs of 49.6% on WN18RR and 57.7% on YAGO3-10.

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Code

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tensorflow/neural-structured-learning officialmentioned in papertf report
HazyResearch/KGEmb mentioned on GitHubpytorch report

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AttH tensorflow/neural-structured-learning/research/kg_hyp_emb/models/hyperbolic.py official repository unverified Apache-2.0 (permissive) · 032e87efd262bdb2 · report
BaseH tensorflow/neural-structured-learning/research/kg_hyp_emb/models/hyperbolic.py official repository unverified Apache-2.0 (permissive) · c4747b2fc044945c · report
KGModel tensorflow/neural-structured-learning/research/kg_hyp_emb/models/hyperbolic.py official repository unverified Apache-2.0 (permissive) · cd46970c3c53fdd7 · report
expmap0 HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · c20b667506a089d4 · report
givens_rotations HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · a2d8a4c33a49b3b2 · report
mobius_add HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · 5b412bbe94824746 · report
project HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) ran · our draft was wrong fingerprinted no licence file found · pointer only · 61d7615dd4f001b9 · report
BaseH HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) unverified no licence file found · pointer only · e2f91fad2ade7243 · report
KGModel HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) unverified no licence file found · pointer only · 75795d19ef57d249 · report
RotH HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) unverified no licence file found · pointer only · 142af94fff126ce4 · report
hyp_distance_multi_c HazyResearch/KGEmb/models/hyperbolic.py community (archive-listed) unverified no licence file found · pointer only · d302d6f892368f3d · report

Tasks

Knowledge Graph Embeddings

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Link Prediction FB15k-237 RefE Hits@1 0.256 #31 of 75 Archive leaderboard report
Link Prediction FB15k-237 RefE Hits@10 0.541 #31 of 75 Archive leaderboard report
Link Prediction FB15k-237 RefE Hits@3 0.390 #31 of 75 Archive leaderboard report
Link Prediction FB15k-237 RefE MRR 0.351 #31 of 75 Archive leaderboard report
Link Prediction WN18RR RotH Hits@1 0.449 #18 of 75 Archive leaderboard report
Link Prediction WN18RR RotH Hits@10 0.586 #18 of 75 Archive leaderboard report
Link Prediction WN18RR RotH Hits@3 0.514 #18 of 75 Archive leaderboard report
Link Prediction WN18RR RotH MRR .496 #18 of 75 Archive leaderboard report
Link Prediction YAGO3-10 RefE Hits@1 0.503 #5 of 18 Archive leaderboard report
Link Prediction YAGO3-10 RefE Hits@10 0.712 #5 of 18 Archive leaderboard report
Link Prediction YAGO3-10 RefE Hits@3 0.621 #5 of 18 Archive leaderboard report
Link Prediction YAGO3-10 RefE MRR 0.577 #5 of 18 Archive leaderboard report

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