Junliang Yu

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

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 lying in the item transitions plays a pivotal role. …

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks

2020 · IEEE Transactions on Knowledge and Data Engineering

Social recommender systems are expected to improve recommendation quality by incorporating social information when there is little user-item interaction data. However, recent reports from industry show that social recommender systems consistently fail in practice. According …

Are Graph Augmentations Necessary?

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Contrastive learning (CL) recently has spurred a fruitful line of research in the field of recommendation, since its ability to extract self-supervised signals from the raw data is well-aligned with recommender systems' needs for tackling …