mlsanityData to 14 Oct 2026

Nebula Graph: An open source distributed graph database

arXiv 2206.07278 ↗First posted 15 Jun 2022cs.DBcited by 8

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Abstract (arXiv)

This paper introduces the recent work of Nebula Graph, an open-source, distributed, scalable, and native graph database. We present a system design trade-off and a comprehensive overview of Nebula Graph internals, including graph data models, partitioning strategies, secondary indexes, optimizer rules, storage-side transactions, graph query languages, observability, graph processing frameworks, and visualization tool-kits. In addition, three sets of large-scale graph b

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Jun 2022.

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Citing papers per year: 2024: 6; 2025: 2.

8 papers.

  1. 2024KG-RAG: Bridging the Gap Between Knowledge and Creativitycited by 56
  2. 2025Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunitiescited by 31
  3. 2024Text2Cypher: Bridging Natural Language and Graph Databasescited by 30
  4. 2024SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Taskcited by 19
  5. 2025GiGL: Large-Scale Graph Neural Networks at Snapchatcited by 8
  6. 2024MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databasescited by 6
  7. 2024Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Classcited by 1
  8. 2024Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materialscited by 1