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cs.LG2023
Federated Topic Model and Model Pruning Based on Variational Autoencoder
Chengjie Ma, Yawen Li, Meiyu Liang +1
Topic modeling has emerged as a valuable tool for discovering patterns and topics within large collections of documents. However, when cross-analysis involves multiple parties, dat…
cs.LG2022
An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers
Jie Song, Meiyu Liang, Zhe Xue +2
Learning knowledge representation of scientific paper data is a problem to be solved, and how to learn the representation of paper nodes in scientific paper heterogeneous network i…