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20142023
most citedPredicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations

83 citations · 457 across the 62 of their papers we have counts for

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Showing 2021 · cs.LGShow all

2 papers · 2 filters

cs.LG2021★ 2 cited

Structure-Aware Label Smoothing for Graph Neural Networks

Yiwei Wang, Yujun Cai, Yuxuan Liang +5

Representing a label distribution as a one-hot vector is a common practice in training node classification models. However, the one-hot representation may not adequately reflect th…

cs.LG2021★ 1 cited

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression

Sheng Lin, Wei Jiang, Wei Wang +4

Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.…