Negative sampling (NS) is widely used in knowledge graph embedding (KGE), which aims to generate negative triples to make a positive-negative contrast during training. However, existing NS methods are unsuitable when multi-modal information is consid...
1 day ago · Track real-time commodity prices with the Kitco Global Index (KGX). Analyze how USD strength impacts Gold, Silver, Oil, Copper, and top cryptocurrencies like Bitcoin, Ethereum, and Solana.
1 day ago · Track real-time commodity prices with the Kitco Global Index (KGX). Analyze how USD strength impacts Gold, Silver, Oil, Copper, and top cryptocurrencies like Bitcoin, Ethereum, and Solana.
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Points: 10 | Comments: 0 | Author: trhway
Recent advances in large language models (LLMs) and the abundance of food data have resulted in studies to improve food understanding using LLMs. Despite several recommendation systems utilizing LLMs and Knowledge Graphs (KGs), there has been limited...
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is to convert ques...
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Knowledge graphs (KGs) are becoming essential resources for many downstream applications. However, their incompleteness may limit their potential. Thus, continuous curation is needed to mitigate this problem. One of the strategies to address this pro...
In pop culture and the internet we often see jokes and references to the intelligence/secret agencies of a lot of countries like the CIA, FBI, Mossad, Stasi, MI6 and the KGB. Considering China's impor...
Knowledge Graph Embedding (KGE) is a popular method for KG reasoning and training KGEs with higher dimension are usually preferred since they have better reasoning capability. However, high-dimensional KGEs pose huge challenges to storage and computi...
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Points: 10 | Comments: 4 | Author: kgarten
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