mlsanityData to 7 Oct 2026

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion

arXiv 2402.02389 ↗First posted 4 Feb 2024cs.CL cs.AIcited by 36

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Abstract (arXiv)

Knowledge Graph Completion (KGC) is crucial for addressing knowledge graph incompleteness and supporting downstream applications. Many models have been proposed for KGC. They can be categorized into two main classes: triple-based and text-based approaches. Triple-based methods struggle with long-tail entities due to limited structural information and imbalanced entity distributions. Text-based methods alleviate this issue but require costly training for language models and specific finetuning for knowledge graphs, which limits their efficiency. To alleviate these limitations, in this paper, we propose KICGPT, a framework that integrates a large language model (LLM) and a triple-based KGC retriever. It alleviates the long-tail problem without incurring additional training overhead. KICGPT uses an in-context learning strategy called Knowledge Prompt, which encodes structural knowledge into demonstrations to guide the LLM. Empirical results on benchmark datasets demonstrate the effectiveness of KICGPT with smaller training overhead and no finetuning.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). Builds on 28 of its 44 references that are in the map. First posted on arXiv 4 Feb 2024.

Builds on

28 of 44 references.

References · 28

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  4. 2017Modeling Relational Data with Graph Convolutional Networkscited by 1,684
  5. 2022Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?cited by 1,413
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  8. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,184
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  10. 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 929
  11. 2016Complex Embeddings for Simple Link Predictioncited by 897
  12. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 893
16 more
  1. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
  2. 2017Convolutional 2D Knowledge Graph Embeddingscited by 729
  3. 2019Composition-based Multi-Relational Graph Convolutional Networkscited by 395
  4. 2019KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representationcited by 356
  5. 2023Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agentscited by 356
  6. 2023Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedbackcited by 351
  7. 2023StructGPT: A General Framework for Large Language Model to Reason over Structured Datacited by 339
  8. 2019KG-BERT: BERT for Knowledge Graph Completioncited by 323
  9. 2019TuckER: Tensor Factorization for Knowledge Graph Completioncited by 290
  10. 2019DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphscited by 173
  11. 2019Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Predictioncited by 133
  12. 2022Rationale-Augmented Ensembles in Language Modelscited by 111
  13. 2018One-Shot Relational Learning for Knowledge Graphscited by 78
  14. 2019Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphscited by 73
  15. 2022Transcending Scaling Laws with 0.1% Extra Computecited by 55
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 14; 2025: 13; 2026: 9.

36 papers.

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  1. 2024GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningcited by 128
  2. 2025TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphscited by 23
  3. 2024MKGL: Mastery of a Three-Word Languagecited by 17
  4. 2025Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasetscited by 17
  5. 2024KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledgecited by 16
  6. 2024Combining Knowledge Graphs and Large Language Modelscited by 16
  7. 2024Logical Consistency of Large Language Models in Fact-checkingcited by 15
  8. 2024Research Trends for the Interplay between Large Language Models and Knowledge Graphscited by 14
  9. 2024Large Language Model Enhanced Knowledge Representation Learning: A Surveycited by 6
  10. 2025A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Taskscited by 6
  11. 2024Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completioncited by 5
  12. 2024A Contextualized BERT model for Knowledge Graph Completioncited by 5
24 more
  1. 2024LLM+KG@VLDB'24 Workshop Summarycited by 3
  2. 2025Large Language Models for Knowledge Graph Embedding: A Surveycited by 3
  3. 2025Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completioncited by 2
  4. 2025Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Predictioncited by 2
  5. 2024UPCS: Unbiased Persona Construction for Dialogue Generationcited by 1
  6. 2025Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contextscited by 1
  7. 2025KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Modelscited by 1
  8. 2025Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoningcited by 1
  9. 2026GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoningcited by 1
  10. 2024FLAME: Empowering Frozen LLMs for Knowledge Graph Completioncited by 0
  11. 2024MUSE: Integrating Multi-Knowledge for Knowledge Graph Completioncited by 0
  12. 2024Deep Sparse Latent Feature Models for Knowledge Graph Completioncited by 0
  13. 2025MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Samplingcited by 0
  14. 2025Knowledge Graph Embeddings with Representing Relations as Annular Sectorscited by 0
  15. 2025Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Modelscited by 0
  16. 2025An Interdisciplinary and Cross-Task Review on Missing Data Imputationcited by 0
  17. 2026Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoningcited by 0
  18. 2026RADAR: Reasoning as Discrimination with Aligned Representations for LLM-based Knowledge Graph Reasoningcited by 0
  19. 2026The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AIcited by 0
  20. 2026OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completioncited by 0
  21. 2026CORE: Cyclic Orthotope Relation Embedding for Knowledge Graph Completioncited by 0
  22. 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusioncited by 0
  23. 2026Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoningcited by 0
  24. 2026Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Pathscited by 0