iDC-NEU/YiGraph
YiGraph is an LLM-driven agent for autonomous Graph Data Analytics based on Analytics-Augmented Generation. 易图(YiGraph)是一套基于 AAG(分析增强生成)框架构建的图分析智能体系统,致力于挖掘数据之间的关联关系,释放数据价值。 observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 94
- Release rhythm 35
- Longevity 30
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 425
- days_rel: n/a
- days_push: 40
- n_releases_24m: 0
Adoption not part of the score
1227 stars · 96 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
YiGraph is an LLM-driven agent system for autonomous graph data analytics built on the Analytics-Augmented Generation (AAG) framework. It extracts entities and relationships from raw data sources like logs, documents, and tables to build graph data, then answers natural-language business questions by planning and executing verifiable graph computations and generating interpretable analysis reports.
Use cases
- analyze relationships in complex data with natural language questions
- extract entities and relations from documents and logs into a knowledge graph
- financial anti-money-laundering graph analysis
- generate interpretable analysis reports from graph data
- run graph algorithms via an LLM agent without writing queries
- turn business questions into executable graph analysis workflows
When to choose
- you need natural-language-driven analysis over relational/graph data
- you want LLM answers grounded in verifiable graph computations rather than free-form chat
- you need automated entity and relationship extraction from heterogeneous raw data
- you need traceable, reviewable analysis reports for domains like finance or fraud detection
When to avoid
- you need a simple chatbot without graph analytics
- your data has no meaningful relational structure
- you require a permissively licensed dependency - the repository lists no license
- you need a lightweight tool without LLM infrastructure
Facets
application · maturity active
agent-framework rag nlp machine-learning data-science analytics chatbot artificial-intelligence large-language-models data-science analytics graph-processing python cross-platform graph-analytics analytics-augmented-generation llm-agent knowledge-graph graph-database natural-language-analysis anti-money-laundering report-generation ai-agents natural-language-processing
1 source
- readme: https://github.com/iDC-NEU/YiGraph · fetched 2026-08-28 · 71ad1d8bcb2d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| iDC-NEU/YiGraph | main | 61 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem