Neural Graph Databases

Author:Murphy  |  View: 25140  |  Time: 2025-03-23 19:11:54

What's New in Graph ML?

We introduce the concept of Neural Graph Databases as the next step in the evolution of graph databases. Tailored for large incomplete graphs and on-the-fly inference of missing edges using graph representation learning, neural reasoning maintains high expressiveness and supports complex logical queries similar to standard graph query languages.

Image by Authors, assisted by Stable Diffusion.

_This post was written together with [Hongyu](https://twitter.com/ren_hongyu) Ren, [Michael](https://twitter.com/michaelcochez) Cochez, and [Zhaocheng](https://twitter.com/zhu_zhaocheng) Zhu based on our newest paper Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. You can also follow me, Hongyu, Michael, and Zhaocheng on Twitter. Check our project website for more materials._

Outline:

  1. Neural Graph Databases: What and Why?
  2. The blueprint of NGDBs
  3. Neural Graph Storage
  4. Neural Query Engine
  5. Neural Graph Reasoning for Query Engines
  6. Open Challenges for NGDBs
  7. Learn More

: What and Why?

Tags: Artificial Intelligence Editors Pick Graph Machine Learning Knowledge Graph Machine Learning

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