High-Level Feature Fusion Network for Session-Based Social Recommendation
Author:
Affiliation:
1. Tsinghua University,Department of Computer Science and Technology,Beijing,China
2. Pengcheng Laboratory,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095952.pdf?arnumber=10095952
Reference18 articles.
1. STAMP
2. Graph Neural Networks for Social Recommendation
3. Neural Attentive Session-based Recommendation
4. Session-Based Recommendation with Graph Neural Networks
5. Heterogeneous Graph Attention Network
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Robust Preference-Guided Based Disentangled Graph Social Recommendation;IEEE Transactions on Network Science and Engineering;2024-09
2. Exploiting dynamic social feedback for session-based recommendation;Information Processing & Management;2024-05
3. How to Bridge Graph and Sequence Patterns in Session-Based Recommendation? A Self-Supervised Method;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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