222 citations · 229 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 7 cited
Deconfounding to Explanation Evaluation in Graph Neural Networks
Ying-Xin Wu, Xiang Wang, An Zhang +4
Explainability of graph neural networks (GNNs) aims to answer "Why the GNN made a certain prediction?", which is crucial to interpret the model prediction. The feature attribution…
cs.IR2017★ 222 cited
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang +3
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural n…