Abstract
Inductive link prediction (ILP) is to predict links for unseen entities in emerging knowledge graphs (KGs), considering the evolving nature of KGs. A more challenging scenario is that emerging KGs consist of only unseen entities without any edge connected to original KGs, called as disconnected emerging KGs (DEKGs). Existing studies for DEKGs only focus on predicting enclosing links, i.e., predicting links inside the emerging KG. The bridging links, which carry the evolutionary information from the original KG to DEKG, have not been investigated by previous work so far. To fill in the gap, we propose a novel model entitled DEKG-ILP (Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction) that consists of the following two components. (1) The module CLRM (Contrastive Learning-based Relation-specific Feature Modeling) is developed to extract global relation-based semantic features that are shared between original KGs and DEKGs with a novel sampling strategy. (2) The module GSM (GNN-based Subgraph Modeling) is proposed to extract the local subgraph topological information around each link in KGs. The extensive experiments conducted on several benchmark datasets demonstrate that DEKG-ILP has obvious performance improvements compared with state-of-the-art methods for both enclosing and bridging link prediction.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023 |
Editors | Ilaria Bartolini, Xiaochun Yang |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 381-393 |
Number of pages | 13 |
ISBN (Electronic) | 9798350322279 |
ISBN (Print) | 9798350322286 |
DOIs | |
Publication status | Published - 2023 |
Event | IEEE International Conference on Data Engineering 2023 - Anaheim, United States of America Duration: 3 Apr 2023 → 7 Apr 2023 Conference number: 39th https://ieeexplore.ieee.org/xpl/conhome/10184508/proceeding (Proceedings) |
Conference
Conference | IEEE International Conference on Data Engineering 2023 |
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Abbreviated title | ICDE 2023 |
Country/Territory | United States of America |
City | Anaheim |
Period | 3/04/23 → 7/04/23 |
Internet address |
Keywords
- Inductive Link Prediction
- Knowledge Graph
- Knowledge Graph Embedding