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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

arXiv 2010.04029 ↗First posted 8 Oct 2020cs.AI cs.LGcited by 117

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Abstract (arXiv)

This paper studies learning logic rules for reasoning on knowledge graphs. Logic rules provide interpretable explanations when used for prediction as well as being able to generalize to other tasks, and hence are critical to learn. Existing methods either suffer from the problem of searching in a large search space (e.g., neural logic programming) or ineffective optimization due to sparse rewards (e.g., techniques based on reinforcement learning). To address these limitations, this paper proposes a probabilistic model called RNNLogic. RNNLogic treats logic rules as a latent variable, and simultaneously trains a rule generator as well as a reasoning predictor with logic rules. We develop an EM-based algorithm for optimization. In each iteration, the reasoning predictor is first updated to explore some generated logic rules for reasoning. Then in the E-step, we select a set of high-quality rules from all generated rules with both the rule generator and reasoning predictor via posterior inference; and in the M-step, the rule generator is updated with the rules selected in the E-step. Experiments on four datasets prove the effectiveness of RNNLogic.

Key facts. Cited by 117 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Oct 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 17; 2023: 27; 2024: 28; 2025: 22; 2026: 12.

117 papers.

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  1. 2021Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Predictioncited by 273
  2. 2024Large Language Models Can Learn Temporal Reasoningcited by 110
  3. 2022A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodalcited by 106
  4. 2021Knowledge Graph Reasoning with Relational Digraphcited by 91
  5. 2023Large Language Models can Learn Rulescited by 66
  6. 2022Neural-Symbolic Models for Logical Queries on Knowledge Graphscited by 60
  7. 2022A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphscited by 49
  8. 2022Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queriescited by 39
  9. 2021Neuro-Symbolic Inductive Logic Programming with Logical Neural Networkscited by 36
  10. 2023Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databasescited by 35
  11. 2022AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoningcited by 28
  12. 2024Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMscited by 28
38 more
  1. 2023ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoningcited by 26
  2. 2025TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphscited by 23
  3. 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregationcited by 22
  4. 2023Neurosymbolic AI for Reasoning over Knowledge Graphs: A Surveycited by 21
  5. 2023Neural Compositional Rule Learning for Knowledge Graph Reasoningcited by 20
  6. 2024Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspectivecited by 20
  7. 2022Few-shot Reranking for Multi-hop QA via Language Model Promptingcited by 19
  8. 2022Few-shot Relational Reasoning via Connection Subgraph Pretrainingcited by 18
  9. 2023Interpretable Multimodal Misinformation Detection with Logic Reasoningcited by 16
  10. 2021Learning Logic Rules for Document-level Relation Extractioncited by 15
  11. 2023Relational Concept Bottleneck Modelscited by 15
  12. 2024Leveraging Logical Rules in Knowledge Editing: A Cherry on the Topcited by 11
  13. 2024TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detectioncited by 10
  14. 2021Learning Symbolic Rules for Reasoning in Quasi-Natural Languagecited by 9
  15. 2022Elaboration-Generating Commonsense Question Answering at Scalecited by 9
  16. 2023Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matricescited by 9
  17. 2024MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Languagecited by 9
  18. 2023Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learningcited by 8
  19. 2024Neuro-Symbolic Entity Alignment via Variational Inferencecited by 8
  20. 2021Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completioncited by 7
  21. 2022R5: Rule Discovery with Reinforced and Recurrent Relational Reasoningcited by 7
  22. 2024Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completioncited by 7
  23. 2025Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQAcited by 7
  24. 2021Perform Like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inferencecited by 6
  25. 2022Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Pathscited by 6
  26. 2023NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphscited by 6
  27. 2023KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformationcited by 6
  28. 2025GraphOracle: Efficient Fully-Inductive Knowledge Graph Reasoning via Relation-Dependency Graphscited by 6
  29. 2021Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoningcited by 5
  30. 2022Rule Mining over Knowledge Graphs via Reinforcement Learningcited by 5
  31. 2022Learning First-Order Rules with Differentiable Logic Program Semanticscited by 5
  32. 2022RulE: Knowledge Graph Reasoning with Rule Embeddingcited by 5
  33. 2024Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completioncited by 5
  34. 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoningcited by 5
  35. 2025FamilyTool: A Multi-hop Personalized Tool Use Benchmarkcited by 5
  36. 2025Mixture of Length and Pruning Experts for Knowledge Graphs Reasoningcited by 5
  37. 2025Punctuation and Predicates in Language Modelscited by 5
  38. 2021Rule Induction in Knowledge Graphs Using Linear Programmingcited by 4

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