自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。
Las características principales de lihanghang/knowledge-graph son: Knowledge Graphs.
Las alternativas de código abierto para lihanghang/knowledge-graph incluyen: 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.
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
