Temporal Knowledge Graph Completion

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Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (42 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning Sequence Encoders for Temporal Knowledge Graph Completion
  10 Sep 2018 3 repositories listed
  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
  6 Jul 2019 2 repositories listed
  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.
• Learning Granularity Representation for Temporal Knowledge Graph Completion
  27 Aug 2024 1 repository listed
  Temporal Knowledge Graphs (TKGs) incorporate temporal information to reflect the dynamic structural knowledge and evolutionary patterns of real-world facts.
• Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
  13 Aug 2024 1 repository listed
  Temporal knowledge graph completion aims to infer the missing facts in temporal knowledge graphs.
• Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding
  14 Apr 2024 1 repository listed
  Recent studies have highlighted the effectiveness of tensor decomposition methods in the Temporal Knowledge Graphs Embedding (TKGE) task.
• Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
  24 Oct 2023 1 repository listed
  Temporal Knowledge Graph Completion (TKGC) under the extrapolation setting aims to predict the missing entity from a fact in the future, posing a challenge that aligns more closely with real-world prediction problems.
• Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs
  28 Sep 2023 1 repository listed
  Most knowledge graph completion (KGC) methods learn latent representations of entities and relations of a given graph by mapping them into a vector space.
• A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
  4 Aug 2023 1 repository listed
  Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry.
• Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
  13 May 2023 1 repository listed
  We train our model with a masking strategy to convert TKGC task into a masked token prediction task, which can leverage the semantic information in pre-trained language models.
• Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
  2 Apr 2023 1 repository listed
  Most previous TKGC methods only consider predicting the missing links among the entities seen in the training set, while they are unable to achieve great performance in link prediction concerning newly-emerged unseen…
• Logic and Commonsense-Guided Temporal Knowledge Graph Completion
  30 Nov 2022 1 repository listed
  To address these challenges, we propose a Logic and Commonsense-Guided Embedding model (LCGE) to jointly learn the time-sensitive representation involving timeliness and causality of events, together with the…
• Search to Pass Messages for Temporal Knowledge Graph Completion
  30 Oct 2022 1 repository listed
  In particular, we develop a generalized framework to explore topological and temporal information in TKGs.
• Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
  17 Oct 2022 1 repository listed
  In order to represent the facts happening in a specific time, temporal knowledge graph (TKG) embedding approaches are put forward.
• TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion
  1 May 2022 1 repository listed
  In this paper, we tackle the temporal knowledge graph completion task by proposing TempCaps, which is a Capsule network-based embedding model for Temporal knowledge graph completion.
• Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
  10 Apr 2022 1 repository listed
  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.
• Temporal Knowledge Graph Completion using Box Embeddings
  18 Sep 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  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 Completion using a Linear Temporal Regularizer and Multivector Embeddings
  1 Jun 2021 1 repository listed
  Representation learning approaches for knowledge graphs have been mostly designed for static data.
• TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
  17 Apr 2021 1 repository listed
  The model has to adapt to changes in the TKG for efficient training and inference while preserving its performance on historical knowledge.
• Tucker decomposition-based Temporal Knowledge Graph Completion
  16 Nov 2020 1 repository listed
  Developing the model for temporal knowledge graphs completion is an increasingly important task.
• DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
  8 Nov 2020 1 repository listed
  Product manifolds enable our approach to better reflect a wide variety of geometric structures on temporal KGs.
• TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
  7 Oct 2020 1 repository listed
  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.
• Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
  2 May 2020 1 repository listed Syntology ran 3 of 12 samples · 9 unverified · 12 pointer-only (licence)
  Temporal knowledge bases associate relational (s, r, o) triples with a set of times (or a single time instant) when the relation is valid.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.