Article

Advances in the Development of Representation Learning and Its Innovations against COVID-19

2023-08-14

Abstract excerpt

In bioinformatics research, traditional machine learning methods have demonstrated efficacy in addressing Euclidean data. However, real-world data often encompasses non-Euclidean forms, such as graph data, which contain intricate structural patterns or high-order relationships that elude conventional machine-learning approaches. Representation learning seeks to derive valuable data representations from enhancing p...

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Literature Corpus work: 94d09fb0-66c6-5aab-b849-205308f4cd0a
DOI: 10.20944/preprints202308.1029.v1

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