SIGformer: Sign-aware Graph Transformer for Recommendation

S Chen, J Chen, S Zhou, B Wang, S Han, C Su… - Proceedings of the 47th …, 2024 - dl.acm.org
In recommender systems, most graph-based methods focus on positive user feedback, while
overlooking the valuable negative feedback. Integrating both positive and negative feedback …

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences

Y Dang, Y Liu, E Yang, G Guo, L Jiang, J Zhao… - ACM Transactions on …, 2025 - dl.acm.org
Recommendation unlearning is an emerging task to erase the influences of user-specified
data from a trained recommendation model. Most existing research follows the paradigm of …

Towards unified modeling for positive and negative preferences in sign-aware recommendation

Y Liu, Y Dang, Y Liang, Q Liu, G Guo, J Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, sign-aware graph recommendation has drawn much attention as it will learn users'
negative preferences besides positive ones from both positive and negative interactions (ie …

Multi-relation graph contrastive learning with adaptive strategy for social recommendation

Y **a, Y Tang, B Yang, C Liu, Q Tao - Neurocomputing, 2025 - Elsevier
Numerous social recommendation models leverage user-item rating data (ie, collaborative
domain) and social connections (ie, social domain) to obtain users' preferences for …