New Algorithms Shrink Giant Knowledge Graphs While Keeping Their Meaning Intact
Researchers in China have developed three new algorithms, LIDUS, LDUS and aLDUS, that compress massive knowledge graphs into compact summaries ...
Researchers in China have developed three new algorithms, LIDUS, LDUS and aLDUS, that compress massive knowledge graphs into compact summaries ...
Researchers at Cairo University have developed EPOBPA, a parallelizable frequent itemset mining algorithm that outperforms existing techniques by 36 to ...
Researchers have developed hyperspherical supervised topic models that encode word and knowledge graph embeddings on the unit sphere to produce ...
Researchers have developed CurvBi, a framework that unites four-dimensional bicomplex algebra with Fisher-Rao-based Riemannian fusion to improve multimodal knowledge graph ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine