Papers › Multi-relational Poincaré Graph Embeddings

Multi-relational Poincaré Graph Embeddings

23 May 2019NeurIPS 2019 12arXiv:1905.09791archive 2025-07-28

Ivana Balažević, Carl Allen, Timothy Hospedales

Hyperbolic embeddings have recently gained attention in machine learning due to their ability to represent hierarchical data more accurately and succinctly than their Euclidean analogues. However, multi-relational knowledge graphs often exhibit multiple simultaneous hierarchies, which current hyperbolic models do not capture. To address this, we propose a model that embeds multi-relational graph data in the Poincar\'e ball model of hyperbolic space. Our Multi-Relational Poincar\'e model (MuRP) learns relation-specific parameters to transform entity embeddings by M\"obius matrix-vector multiplication and M\"obius addition. Experiments on the hierarchical WN18RR knowledge graph show that our Poincar\'e embeddings outperform their Euclidean counterpart and existing embedding methods on the link prediction task, particularly at lower dimensionality.

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artanh ibalazevic/multirelational-poincare/utils.py official repository unverified MIT (permissive) · bbf43036d0d1be94 · report
euclidean_update ibalazevic/multirelational-poincare/rsgd.py official repository unverified MIT (permissive) · 887d1966dc7d5944 · report
p_exp_map ibalazevic/multirelational-poincare/utils.py official repository unverified MIT (permissive) · ef981fc4bad4a22b · report
p_log_map ibalazevic/multirelational-poincare/utils.py official repository unverified MIT (permissive) · 3d6121c6b6728621 · report
poincare_grad ibalazevic/multirelational-poincare/rsgd.py official repository unverified MIT (permissive) · 9e8a3bc865c35646 · report
poincare_update ibalazevic/multirelational-poincare/rsgd.py official repository unverified MIT (permissive) · 97c4be1bf3b277b5 · report

Tasks

Entity EmbeddingsKnowledge GraphsLink Prediction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Link Prediction FB15k-237 MuRP Hits@1 0.245 #42 of 75 Archive leaderboard report
Link Prediction FB15k-237 MuRP Hits@10 0.521 #42 of 75 Archive leaderboard report
Link Prediction FB15k-237 MuRP Hits@3 0.370 #42 of 75 Archive leaderboard report
Link Prediction FB15k-237 MuRP MRR 0.336 #42 of 75 Archive leaderboard report
Link Prediction WN18RR MuRP Hits@1 0.440 #41 of 75 Archive leaderboard report
Link Prediction WN18RR MuRP Hits@10 0.566 #41 of 75 Archive leaderboard report
Link Prediction WN18RR MuRP Hits@3 0.495 #41 of 75 Archive leaderboard report
Link Prediction WN18RR MuRP MRR 0.481 #41 of 75 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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