mlsanityData to 7 Oct 2026

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

arXiv 2212.05767 ↗First posted 12 Dec 2022cs.AI cs.CL cs.IRcited by 106

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Abstract (arXiv)

Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research direction. It has been proven to significantly benefit the usage of KGs in many AI applications, such as question answering, recommendation systems, and etc. According to the graph types, existing KGR models can be roughly divided into three categories, i.e., static models, temporal models, and multi-modal models. Early works in this domain mainly focus on static KGR, and recent works try to leverage the temporal and multi-modal information, which are more practical and closer to real-world. However, no survey papers and open-source repositories comprehensively summarize and discuss models in this important direction. To fill the gap, we conduct a first survey for knowledge graph reasoning tracing from static to temporal and then to multi-modal KGs. Concretely, the models are reviewed based on bi-level taxonomy, i.e., top-level (graph types) and base-level (techniques and scenarios). Besides, the performances, as well as datasets, are summarized and presented. Moreover, we point out the challenges and potential opportunities to enlighten the readers. The corresponding open-source repository is shared on GitHub https://github.com/LIANGKE23/Awesome-Knowledge-Graph-Reasoning.

Key facts. Cited by 106 papers in the map (data through 7 Oct 2026). Builds on 174 of its 358 references that are in the map. First posted on arXiv 12 Dec 2022.

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174 of 358 references.

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50 most cited of 174 All 174 (JSON)

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Citing papers per year: 2023: 18; 2024: 28; 2025: 36; 2026: 24.

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  1. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunitiescited by 97
  2. 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
  3. 2024Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generationcited by 78
  4. 2024Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Surveycited by 50
  5. 2023Making Large Language Models Perform Better in Knowledge Graph Completioncited by 48
  6. 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoningcited by 41
  7. 2024TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphscited by 35
  8. 2023Deep Temporal Graph Clusteringcited by 28
  9. 2023Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignmentcited by 25
  10. 2024Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?cited by 25
  11. 2025Hallucination Detection in Large Language Models with Metamorphic Relationscited by 24
  12. 2023Temporal Knowledge Question Answering via Abstract Reasoning Inductioncited by 23
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  1. 2024The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmapcited by 20
  2. 2023Unpaired Multi-View Graph Clustering with Cross-View Structure Matchingcited by 19
  3. 2025Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Ratescited by 19
  4. 2023Reinforcement Graph Clustering with Unknown Cluster Numbercited by 16
  5. 2025Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognitioncited by 16
  6. 2024Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Networkcited by 15
  7. 2024Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representationcited by 14
  8. 2024Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptationcited by 14
  9. 2024Distilling Reasoning Ability from Large Language Models with Adaptive Thinkingcited by 13
  10. 2024Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learningcited by 13
  11. 2025AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTLcited by 13
  12. 2025Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Needcited by 12
  13. 2024Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimationcited by 11
  14. 2023One-step Multi-view Clustering with Diverse Representationcited by 10
  15. 2023SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoningcited by 9
  16. 2023TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classificationcited by 9
  17. 2023Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoningcited by 8
  18. 2023Scalable Incomplete Multi-View Clustering with Structure Alignmentcited by 7
  19. 2023Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoningcited by 7
  20. 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspectivecited by 7
  21. 2025Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQAcited by 7
  22. 2024Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluationcited by 6
  23. 2025Rethinking Regularization Methods for Knowledge Graph Completioncited by 6
  24. 2026Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Languagecited by 6
  25. 2023Efficient Multi-View Graph Clustering with Local and Global Structure Preservationcited by 5
  26. 2023Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Predictioncited by 5
  27. 2025Mixture of Length and Pruning Experts for Knowledge Graphs Reasoningcited by 5
  28. 2025A Survey of Link Prediction in N-ary Knowledge Graphscited by 4
  29. 2025STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approachcited by 4
  30. 2026Multi-Disciplinary Dataset Discovery from Citation-Verified Literature Contextscited by 4
  31. 2026Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemakingcited by 4
  32. 2023arXiv4TGC: Large-Scale Datasets for Temporal Graph Clusteringcited by 3
  33. 2024Test-Time Training on Graphs with Large Language Models (LLMs)cited by 3
  34. 2024IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignmentcited by 3
  35. 2024Stealing Training Graphs from Graph Neural Networkscited by 3
  36. 2025Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluationcited by 3
  37. 2025Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learningcited by 3
  38. 2023GANN: Graph Alignment Neural Network for Semi-Supervised Learningcited by 2

50 most cited of 106 All 106 (JSON)