output
20172025
most citedGroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

103 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2023★ 12 cited

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data

Dongyu Zhang, Liang Wang, Xin Dai +7

Sequential tabular data is one of the most commonly used data types in real-world applications. Different from conventional tabular data, where rows in a table are independent, seq…

cs.LG2023★ 1 cited

Tackling Diverse Minorities in Imbalanced Classification

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen +5

Imbalanced datasets are commonly observed in various real-world applications, presenting significant challenges in training classifiers. When working with large datasets, the imbal…

cs.LG2022★ 3 cited

SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction

Xiaoting Li, Yuhang Wu, Vineeth Rakesh +3

Graph neural networks have achieved significant success in representation learning. However, the performance gains come at a cost; acquiring comprehensive labeled data for training…

cs.LG2021★ 4 cited

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang +5

Predicting metrics associated with entities' transnational behavior within payment processing networks is essential for system monitoring. Multivariate time series, aggregated from…

cs.LG2019★ 81 cited

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Yi Zhong, Xueyu Chen, Yu Zhao +3

We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks. And this is implemented by combining graph CNN with an…