How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。
The main features of liuhuanyong/eventtriplesextraction are: Knowledge Graphs.
Projects with overlapping indexed features include: awslabs/dgl-ke — High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings. dstlry/dstlr — scalable knowledge graph construction from unstructured text. facebookresearch/blink — Entity Linker solution. fighting41love/causaldataset. ivendrov/order-embedding — Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language". accenture/ampligraph — Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.
