42 citations · 78 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 35 cited
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
Yuling Wang, Xiao Wang, Xiangzhou Huang +5
Graph neural network (GNN) based recommender systems have become one of the mainstream trends due to the powerful learning ability from user behavior data. Understanding the user i…
cs.LG2022★ 1 cited
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination
Mengdi Zhang, Jun Sun, Jingyi Wang +1
Discrimination has been shown in many machine learning applications, which calls for sufficient fairness testing before their deployment in ethic-relevant domains such as face reco…
cs.LG2022★ 42 cited
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
Xiao Liu, Shiyu Zhao, Kai Su +6
Knowledge graph (KG) embeddings have been a mainstream approach for reasoning over incomplete KGs. However, limited by their inherently shallow and static architectures, they can h…