Temporal Knowledge Graph Completion
22 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Temporal Knowledge Graph Completion
Most implemented papers
Learning Sequence Encoders for Temporal Knowledge Graph Completion
In line with previous work on static knowledge graphs, we propose to address this problem by learning latent entity and relation type representations.
Diachronic Embedding for Temporal Knowledge Graph Completion
In this paper, we build novel models for temporal KG completion through equipping static models with a diachronic entity embedding function which provides the characteristics of entities at any point in time.
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
Temporal knowledge bases associate relational (s, r, o) triples with a set of times (or a single time instant) when the relation is valid.
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Our analysis also reveals important sources of variability both within and across TKG datasets, and we introduce several simple but strong baselines that outperform the prior state of the art in certain settings.
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
TemporalKGTeam/DyERNIE
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EMNLP 2020
Product manifolds enable our approach to better reflect a wide variety of geometric structures on temporal KGs.
Tucker decomposition-based Temporal Knowledge Graph Completion
MaxenceGiraud/TensorTemporalKG
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Developing the model for temporal knowledge graphs completion is an increasingly important task.
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
JiapengWu/Time-Aware-Incremental-Embedding
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The model has to adapt to changes in the TKG for efficient training and inference while preserving its performance on historical knowledge.
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
soledad921/telm
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NAACL 2021
Representation learning approaches for knowledge graphs have been mostly designed for static data.
Temporal Knowledge Graph Completion using Box Embeddings
Temporal knowledge graph completion (TKGC) is an extension of this task to temporal knowledge graphs, where each fact is additionally associated with a time stamp.
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
iodike/chronokge
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RepL4NLP (ACL) 2022
Temporal knowledge graph completion (TKGC) has become a popular approach for reasoning over the event and temporal knowledge graphs, targeting the completion of knowledge with accurate but missing information.
