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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
Current methods for knowledge graph (KG) representation learning focus solely on the structure of the KG and do not exploit any kind of external information, such as visual and linguistic information corresponding to the KG entities. In this paper, we propose a multimodal translation-based…
The main features of ukplab/starsem18-multimodalkb 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.