首页|New Pattern Recognition and Artificial Intelligence Findings from Xinjiang Unive rsity Discussed (Conhyperkge: Using Contrastive Learning In Hyperbolic Space for Knowledge Graph Embedding)
New Pattern Recognition and Artificial Intelligence Findings from Xinjiang Unive rsity Discussed (Conhyperkge: Using Contrastive Learning In Hyperbolic Space for Knowledge Graph Embedding)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Pattern Recognition and Artificial Intelligence are discussed in a new report. According to news reporting out of Urumqi, People’s Republic of China, by NewsR x editors, research stated, “The embedding of Knowledge Graphs (KGs) in hyperbol ic space has recently received great attention in the field of deep learning bec ause it can provide more accurate and concise representations of hierarchical st ructures compared to Euclidean spaces and complex spaces. Although hyperbolic sp ace embeddings have shown significant improvements over Euclidean spaces and com plex space embeddings in handling the task of KG embedding, they still face chal lenges related to the uneven distribution and insufficient alignment of high-dim ensional sparse data.”
UrumqiPeople’s Republic of ChinaAsiaPattern Recognition and Artificial IntelligenceMachine LearningXinjiang Un iversity
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