mlsanityData to 7 Oct 2026

Continual Learning of Knowledge Graph Embeddings

arXiv 2101.05850 ↗First posted 14 Jan 2021cs.RO cs.LGcited by 35

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Abstract (arXiv)

In recent years, there has been a resurgence in methods that use distributed (neural) representations to represent and reason about semantic knowledge for robotics applications. However, while robots often observe previously unknown concepts, these representations typically assume that all concepts are known a priori, and incorporating new information requires all concepts to be learned afresh. Our work relaxes this limiting assumption of existing representations and tackles the incremental knowledge graph embedding problem by leveraging the principles of a range of continual learning methods. Through an experimental evaluation with several knowledge graphs and embedding representations, we provide insights about trade-offs for practitioners to match a semantics-driven robotics applications to a suitable continual knowledge graph embedding method.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Builds on 20 of its 33 references that are in the map. First posted on arXiv 14 Jan 2021.

Builds on

20 of 33 references.

References · 20

  1. 2016Overcoming catastrophic forgetting in neural networkscited by 4,718
  2. 2016Progressive Neural Networkscited by 1,332
  3. 2018Continual Lifelong Learning with Neural Networks: A Reviewcited by 1,313
  4. 2017Continual Learning with Deep Generative Replaycited by 1,152
  5. 2017Convolutional 2D Knowledge Graph Embeddingscited by 729
  6. 2015Generating Sentences from a Continuous Spacecited by 607
  7. 2017CORe50: a New Dataset and Benchmark for Continuous Object Recognitioncited by 287
  8. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 264
  9. 2019Representation Learning for Dynamic Graphs: A Surveycited by 260
  10. 2018Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselinescited by 228
  11. 2017Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learningcited by 161
  12. 2018Don't forget, there is more than forgetting: new metrics for Continual Learningcited by 113
8 more
  1. 2018Generative replay with feedback connections as a general strategy for continual learningcited by 103
  2. 2017Analogical Inference for Multi-Relational Embeddingscited by 69
  3. 2017KBGAN: Adversarial Learning for Knowledge Graph Embeddingscited by 62
  4. 2018Incorporating GAN for Negative Sampling in Knowledge Representation Learningcited by 31
  5. 2019Efficiently Embedding Dynamic Knowledge Graphscited by 19
  6. 2014RoboBrain: Large-Scale Knowledge Engine for Robotscited by 13
  7. 2019RoboCSE: Robot Common Sense Embeddingcited by 9
  8. 2020A Motion Taxonomy for Manipulation Embeddingcited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 3; 2023: 8; 2024: 11; 2025: 7; 2026: 4.

35 papers.

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  1. 2024InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructionscited by 54
  2. 2023CaT: Balanced Continual Graph Learning with Graph Condensationcited by 50
  3. 2022Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoningcited by 30
  4. 2022Lifelong Embedding Learning and Transfer for Growing Knowledge Graphscited by 28
  5. 2024Continual Learning on Graphs: Challenges, Solutions, and Opportunitiescited by 20
  6. 2024Towards Robust Graph Incremental Learning on Evolving Graphscited by 18
  7. 2024Towards Continual Knowledge Graph Embedding via Incremental Distillationcited by 17
  8. 2023ConPET: Continual Parameter-Efficient Tuning for Large Language Modelscited by 16
  9. 2024Topology-aware Embedding Memory for Continual Learning on Expanding Networkscited by 14
  10. 2024Fast and Continual Knowledge Graph Embedding via Incremental LoRAcited by 14
  11. 2023Aligning Robot and Human Representationscited by 11
  12. 2024Continual Learning for Smart City: A Surveycited by 9
23 more
  1. 2022BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learningcited by 8
  2. 2023PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensationcited by 8
  3. 2023On the Limitation and Experience Replay for GNNs in Continual Learningcited by 7
  4. 2024Towards Continuous Reuse of Graph Models via Holistic Memory Diversificationcited by 7
  5. 2021Survey on English Entity Linking on Wikidatacited by 6
  6. 2023Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Modelcited by 6
  7. 2024Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robotscited by 6
  8. 2023History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completioncited by 5
  9. 2024NC-NCD: Novel Class Discovery for Node Classificationcited by 4
  10. 2024Neurosymbolic Methods for Dynamic Knowledge Graphscited by 3
  11. 2021Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision Historycited by 2
  12. 2023Online Continual Learning via the Knowledge Invariant and Spread-out Propertiescited by 1
  13. 2025Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluationcited by 1
  14. 2025Constraint Multi-class Positive and Unlabeled Learning for Distantly Supervised Named Entity Recognitioncited by 0
  15. 2025When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertaintycited by 0
  16. 2025Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Samplingcited by 0
  17. 2025Unlearning of Knowledge Graph Embedding via Preference Optimizationcited by 0
  18. 2025SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embeddingcited by 0
  19. 2025From Videos to Indexed Knowledge Graphs -- Framework to Marry Methods for Multimodal Content Analysis and Understandingcited by 0
  20. 2026CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphscited by 0
  21. 2026PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphscited by 0
  22. 2026MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoningcited by 0
  23. 2026Matched Excess-Outranker Regularization for Candidate-Set Interference in Continual Knowledge Graph Embeddingcited by 0