Papers › HittER: Hierarchical Transformers for Knowledge Graph Embeddings

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

28 Aug 2020EMNLP 2021 11arXiv:2008.12813archive 2025-07-28

Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji

This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. We propose HittER, a Hierarchical Transformer model to jointly learn Entity-relation composition and Relational contextualization based on a source entity's neighborhood. Our proposed model consists of two different Transformer blocks: the bottom block extracts features of each entity-relation pair in the local neighborhood of the source entity and the top block aggregates the relational information from outputs of the bottom block. We further design a masked entity prediction task to balance information from the relational context and the source entity itself. Experimental results show that HittER achieves new state-of-the-art results on multiple link prediction datasets. We additionally propose a simple approach to integrate HittER into BERT and demonstrate its effectiveness on two Freebase factoid question answering datasets.

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microsoft/HittER mentioned on GitHubpytorchMIT report
seeyourmind/tkgelib mentioned on GitHubpytorchMIT report
zjunlp/relphormer mentioned on GitHubpytorch report

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filename_in_module microsoft/HittER/kge/misc.py community (archive-listed) unverified MIT (permissive) · 4ca15d3df7072836 · report
index_KvsAll microsoft/HittER/kge/indexing.py community (archive-listed) unverified MIT (permissive) · 6064ed3d652179ac · report
index_KvsAll_to_torch microsoft/HittER/kge/indexing.py community (archive-listed) unverified MIT (permissive) · ef8ff474ebd295a8 · report
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index_neighbor microsoft/HittER/kge/indexing.py community (archive-listed) unverified MIT (permissive) · 60a0dd5eb91604d4 · report
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which microsoft/HittER/kge/misc.py community (archive-listed) unverified MIT (permissive) · 5ebd841a3319a390 · report

Tasks

Knowledge Graph EmbeddingsLink PredictionQuestion Answering

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Link Prediction FB15k-237 HittER Hit@1 0.279 #57 of 75 Archive leaderboard report
Link Prediction FB15k-237 HittER Hit@10 0.558 #57 of 75 Archive leaderboard report
Link Prediction FB15k-237 HittER Hits@3 0.409 #57 of 75 Archive leaderboard report
Link Prediction FB15k-237 HittER MRR 0.373 #57 of 75 Archive leaderboard report
Link Prediction WN18RR HittER Hits@1 0.462 #21 of 75 Archive leaderboard report
Link Prediction WN18RR HittER Hits@10 0.584 #21 of 75 Archive leaderboard report
Link Prediction WN18RR HittER Hits@3 0.516 #21 of 75 Archive leaderboard report
Link Prediction WN18RR HittER MRR 0.503 #21 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.

Methods

Absolute Position EncodingsAdamAttentionBPEDense ConnectionsDropoutLabel SmoothingLayer NormalizationLinear LayerMulti-Head AttentionPosition-Wise Feed-Forward LayerResidual ConnectionSoftmaxTransformer

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