mlsanityData to 14 Oct 2026

LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings

arXiv 2210.00305 ↗First posted 1 Oct 2022cs.CL cs.AI cs.DBcited by 5

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Abstract (arXiv)

Knowledge Graphs (KGs) often have two characteristics: heterogeneous graph structure and text-rich entity/relation information. Text-based KG embeddings can represent entities by encoding descriptions with pre-trained language models, but no open-sourced library is specifically designed for KGs with PLMs at present. In this paper, we present LambdaKG, a library for KGE that equips with many pre-trained language models (e.g., BERT, BART, T5, GPT-3), and supports various tasks (e.g., knowledge graph completion, question answering, recommendation, and knowledge probing). LambdaKG is publicly open-sourced at https://github.com/zjunlp/PromptKG/tree/main/lambdaKG, with a demo video at http://deepke.zjukg.cn/lambdakg.mp4 and long-term maintenance.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 23 of its 36 references that are in the map. First posted on arXiv 1 Oct 2022.

Builds on

23 of 36 references.

References · 23

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  5. 2019Language Models as Knowledge Bases?cited by 1,936
  6. 2019BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformercited by 964
  7. 2017Convolutional 2D Knowledge Graph Embeddingscited by 730
  8. 2019KG-BERT: BERT for Knowledge Graph Completioncited by 324
  9. 2020COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphscited by 254
  10. 2021KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extractioncited by 180
  11. 2020KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoningcited by 106
  12. 2022SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Modelscited by 91
11 more
  1. 2020PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddingscited by 77
  2. 2022Sequence-to-Sequence Knowledge Graph Completion and Question Answeringcited by 75
  3. 2022From Discrimination to Generation: Knowledge Graph Completion with Generative Transformercited by 45
  4. 2022Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queriescited by 39
  5. 2021AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibabacited by 33
  6. 2022Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completioncited by 32
  7. 2018KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systemscited by 19
  8. 2022DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Populationcited by 17
  9. 2022Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddingscited by 12
  10. 2022NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphscited by 8
  11. 2022A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Modelscited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 0; 2026: 1.

5 papers.

  1. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 668
  2. 2023Exploring Large Language Models for Knowledge Graph Completioncited by 43
  3. 2024Large Language Model Enhanced Knowledge Representation Learning: A Surveycited by 7
  4. 2024Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphscited by 2
  5. 2026NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturingcited by 0