Papers › DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and...
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan
In the field of representation learning on knowledge graphs (KGs), a hyper-relational fact consists of a main triple and several auxiliary attribute-value descriptions, which is considered more comprehensive and specific than a triple-based fact. However, currently available hyper-relational KG embedding methods in a single view are limited in application because they weaken the hierarchical structure that represents the affiliation between entities. To overcome this limitation, we propose a dual-view hyper-relational KG structure (DH-KG) that contains a hyper-relational instance view for entities and a hyper-relational ontology view for concepts that are abstracted hierarchically from the entities. This paper defines link prediction and entity typing tasks on DH-KG for the first time and constructs two DH-KG datasets, JW44K-6K, extracted from Wikidata, and HTDM based on medical data. Furthermore, we propose DHGE, a DH-KG embedding model based on GRAN encoders, HGNNs, and joint learning. DHGE outperforms baseline models on DH-KG, according to experimental results. Finally, we provide an example of how this technology can be used to treat hypertension. Our model and new datasets are publicly available.
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Code
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Tasks
Datasets
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Link prediction on DH-KGs | JW44K-6K | DHGE | ET-H@1 | 0.637 | #1 of 1 | Archive leaderboard | report |
| Link prediction on DH-KGs | JW44K-6K | DHGE | ET-H@10 | 0.805 | #1 of 1 | Archive leaderboard | report |
| Link prediction on DH-KGs | JW44K-6K | DHGE | ET-MRR | 0.690 | #1 of 1 | Archive leaderboard | report |
| Link prediction on DH-KGs | JW44K-6K | DHGE | LP-H@1 | 0.388 | #1 of 1 | Archive leaderboard | report |
| Link prediction on DH-KGs | JW44K-6K | DHGE | LP-H@10 | 0.575 | #1 of 1 | Archive leaderboard | report |
| Link prediction on DH-KGs | JW44K-6K | DHGE | LP-MRR | 0.453 | #1 of 1 | 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
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