NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing
cs.CR, cs.IR
Submitted: 2026-09-01
Updated: 2026-09-08
Code: https://github.com/ahmadspm/Resellient-Industry-5.0
Project page: https://oasis-open.github.io/cti-documentation
Terminology
Sources
- Threat-based Security Controls to Protect Industrial Control Systems
- Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation
- Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property Graphs
- TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation
- Benchmarking Large Language Models in Retrieval-Augmented Generation
- A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
- Structuring Security: A Survey of Cybersecurity Ontologies, Semantic Log Processing, and LLMs Application
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
- Knowledge Graph-Guided Retrieval Augmented Generation
- GRAG: Graph Retrieval-Augmented Generation
- How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency
- Dense Passage Retrieval for Open-Domain Question Answering
- LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models
- REALM: Retrieval-Augmented Language Model Pre-Training
- Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
- Retrieval-Augmented Generation with Graphs (GraphRAG)
- GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
- MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
- GraphRAG under Fire
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