Papers by Aiping Li

2 papers
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation (2024.acl-long)

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Challenge: Existing methods for temporal knowledge graphs de-emphasize temporal correlations between facts sequences and ignore inferring clues from missing facts.
Approach: They propose a Temporal PAth-based reasoning model that is robust to ambiguous temporal data.
Outcome: The proposed model outperforms SOTA methods on the link prediction task.
RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion (2022.acl-long)

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Challenge: Existing methods for temporal knowledge graphs can hardly model temporal relation patterns, lacking of interpretability.
Approach: They propose a temporal modeling method which represents temporal entities as Rotations in Quaternion Vector Space and relations as complex vectors in Hamilton’s quaterniont space.
Outcome: The proposed method can model key patterns of relations in TKG, such as symmetry, asymmetry, and inverse, and can capture time-evolved relations by theory.

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