1.2k citations · 1.6k across the 38 of their papers we have counts for
5 papers · 1 filter
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu +3
Session-based recommendation (SBR) focuses on next-item prediction at a certain time point. As user profiles are generally not available in this scenario, capturing the user intent…
Commonsense knowledge adversarial dataset that challenges ELECTRA
Gongqi Lin, Yuan Miao, Xiaoyong Yang +4
Commonsense knowledge is critical in human reading comprehension. While machine comprehension has made significant progress in recent years, the ability in handling commonsense kno…
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Shijie Zhang, Hongzhi Yin, Tong Chen +3
In recent years, recommender system has become an indispensable function in all e-commerce platforms. The review rating data for a recommender system typically comes from open plat…
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
Junliang Yu, Hongzhi Yin, Jundong Li +3
Social recommender systems are expected to improve recommendation quality by incorporating social information when there is little user-item interaction data. However, recent repor…
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang, Xilie Xu, Bo Han +4
Adversarial training based on the minimax formulation is necessary for obtaining adversarial robustness of trained models. However, it is conservative or even pessimistic so that i…