33 citations · 78 across the 11 of their papers we have counts for
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cs.DB2021
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search
Bolong Zheng, Xi Zhao, Lianggui Weng +3
Nearest neighbor (NN) search is inherently computationally expensive in high-dimensional spaces due to the curse of dimensionality. As a well-known solution, locality-sensitive has…
cs.IR2021★ 10 cited
Socially-Aware Self-Supervised Tri-Training for Recommendation
Junliang Yu, Hongzhi Yin, Min Gao +3
Self-supervised learning (SSL), which can automatically generate ground-truth samples from raw data, holds vast potential to improve recommender systems. Most existing SSL-based me…
cs.IR2021★ 33 cited
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu, Hongzhi Yin, Jundong Li +3
Social relations are often used to improve recommendation quality when user-item interaction data is sparse in recommender systems. Most existing social recommendation models explo…