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Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2024.3440654
Abstract: The rising popularity of tabular data in data science applications has led to a surge of interest in utilizing deep neural networks (DNNs) to address tabular problems. Existing deep neural network methods are not effective…
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Keywords:
tabular data;
graph neural;
multiplex graph;
cross feature ... See more keywords