mlsanityData to 7 Oct 2026

Temporal Knowledge Graph Question Answering: A Survey

arXiv 2406.14191 ↗First posted 20 Jun 2024cs.CL cs.AI cs.LGcited by 9

Not on the map. Why?

Abstract (arXiv)

Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (TKGQA), an emerging task to answer temporal questions. However, this field grapples with ambiguities in defining temporal questions and lacks a systematic categorization of existing methods for TKGQA. In response, this paper provides a thorough survey from two perspectives: the taxonomy of temporal questions and the methodological categorization for TKGQA. Specifically, we first establish a detailed taxonomy of temporal questions engaged in prior studies. Subsequently, we provide a comprehensive review of TKGQA techniques of two categories: semantic parsing-based and TKG embedding-based. Building on this review, the paper outlines potential research directions aimed at advancing the field of TKGQA. This work aims to serve as a comprehensive reference for TKGQA and to stimulate further research.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 71 of its 130 references that are in the map. First posted on arXiv 20 Jun 2024.

Builds on

71 of 130 references.

References · 71

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2023GPT-4 Technical Reportcited by 18,132
  4. 2022Training language models to follow instructions with human feedbackcited by 15,712
  5. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  6. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  7. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  8. 2017Graph Attention Networkscited by 8,854
  9. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  10. 2016Complex Embeddings for Simple Link Predictioncited by 897
  11. 2022Large Language Models Can Self-Improvecited by 656
  12. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
38 more
  1. 2021QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answeringcited by 386
  2. 2023Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agentscited by 356
  3. 2023StructGPT: A General Framework for Large Language Model to Reason over Structured Datacited by 339
  4. 2023AgentTuning: Enabling Generalized Agent Abilities for LLMscited by 319
  5. 2021Time-Aware Language Models as Temporal Knowledge Basescited by 290
  6. 2019Representation Learning for Dynamic Graphs: A Surveycited by 260
  7. 2023Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graphcited by 235
  8. 2024Scaling Large Language Model-based Multi-Agent Collaborationcited by 235
  9. 2019PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Textcited by 182
  10. 2020Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Basescited by 169
  11. 2018Open Domain Question Answering Using Early Fusion of Knowledge Bases and Textcited by 167
  12. 2018Learning Sequence Encoders for Temporal Knowledge Graph Completioncited by 145
  13. 2022StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Modelscited by 123
  14. 2023Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventionscited by 121
  15. 2023Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answeringcited by 119
  16. 2020Tensor Decompositions for temporal knowledge base completioncited by 115
  17. 2024Large Language Models Can Learn Temporal Reasoningcited by 110
  18. 2021Question Answering Over Temporal Knowledge Graphscited by 99
  19. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 77
  20. 2020KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Basecited by 76
  21. 2023Few-shot In-context Learning for Knowledge Base Question Answeringcited by 74
  22. 2023A Comprehensive Survey on Deep Graph Representation Learningcited by 72
  23. 2021Complex Temporal Question Answering on Knowledge Graphscited by 69
  24. 2018A Survey on Semantic Parsingcited by 62
  25. 2022Temporal Knowledge Graph Completion: A Surveycited by 61
  26. 2021TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphscited by 59
  27. 2021TIMEDIAL: Temporal Commonsense Reasoning in Dialogcited by 55
  28. 2020Leveraging Abstract Meaning Representation for Knowledge Base Question Answeringcited by 53
  29. 2020Fast and Accurate Neural CRF Constituency Parsingcited by 50
  30. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  31. 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
  32. 2019TEQUILA: Temporal Question Answering over Knowledge Basescited by 47
  33. 2020A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challengescited by 47
  34. 2020ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Datacited by 43
  35. 2023TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Modelscited by 39
  36. 2023Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphscited by 35
  37. 2023Comparing Llama-2 and GPT-3 LLMs for HPC kernels generationcited by 30
  38. 2024A Survey on Temporal Knowledge Graph: Representation Learning and Applicationscited by 30

50 most cited of 71 All 71 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 4.

9 papers.