repoGitHubTrust 82 · PrimaryPublished 7d agoLive · 4d ago

yifanfeng97/Hyper-Extract

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Related to

tutorialSet up a retrieval pipeline

Implements

paperMeasuring Graph-to-Graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings paperEfficient Retrieval-Augmented Generation via Token Co-occurrence Graphs

Covers (incoming)

newsBaryGraph - knowledge graph where every relationship is its own embedded document (not an edge) [R]

Related across the graph

paperEfficient Retrieval-Augmented Generation via Token Co-occurrence Graphs newsBaryGraph - knowledge graph where every relationship is its own embedded document (not an edge) [R]tutorialSet up a retrieval pipeline paperMeasuring Graph-to-Graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings

Topics

ai ai-agents cli hypergraph information-extraction knowledge knowledge-graph llm python rag