179 citations · 414 across the 12 of their papers we have counts for
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cs.LG2024★ 8 cited
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
Zicun Cong, Shi Baoxu, Shan Li +3
Fairness in Graph Convolutional Neural Networks (GCNs) becomes a more and more important concern as GCNs are adopted in many crucial applications. Societal biases against sensitive…
cs.LG2018★ 11 cited
Neural Tensor Factorization
Xian Wu, Baoxu Shi, Yuxiao Dong +2
Neural collaborative filtering (NCF) and recurrent recommender systems (RRN) have been successful in modeling user-item relational data. However, they are also limited in their ass…