Multi-behavior Recommendation with SVD Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Shengxi, Ren, Qianqian, Lv, Xingfeng, Li, Jinbao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual-Channel Multiplex Graph Neural Networks for Recommendation
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation
by: Zhan, Tianyu, et al.
Published: (2026)
by: Zhan, Tianyu, et al.
Published: (2026)
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
by: Han, Jinkun, et al.
Published: (2025)
by: Han, Jinkun, et al.
Published: (2025)
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)
by: Lei, Yu, et al.
Published: (2025)
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation
by: Lai, Weijiang, et al.
Published: (2024)
by: Lai, Weijiang, et al.
Published: (2024)
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
by: Han, Jinkun, et al.
Published: (2025)
by: Han, Jinkun, et al.
Published: (2025)
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
On the Impact of Graph Neural Networks in Recommender Systems: A Topological Perspective
by: Malitesta, Daniele, et al.
Published: (2025)
by: Malitesta, Daniele, et al.
Published: (2025)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
by: Fu, Haoyan, et al.
Published: (2025)
by: Fu, Haoyan, et al.
Published: (2025)
Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering
by: Yan, Yubing, et al.
Published: (2024)
by: Yan, Yubing, et al.
Published: (2024)
Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
by: Zhai, Chenhao, et al.
Published: (2025)
by: Zhai, Chenhao, et al.
Published: (2025)
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)
by: Luo, Haitong, et al.
Published: (2024)
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
by: Chen, Fangda, et al.
Published: (2026)
by: Chen, Fangda, et al.
Published: (2026)
Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation
by: Rangadurai, Kaushik, et al.
Published: (2024)
by: Rangadurai, Kaushik, et al.
Published: (2024)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Eco-Aware Graph Neural Networks for Sustainable Recommendations
by: Purificato, Antonio, et al.
Published: (2024)
by: Purificato, Antonio, et al.
Published: (2024)
Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)
by: Wang, Haiyan, et al.
Published: (2024)
Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
by: Cao, Mengyang, et al.
Published: (2025)
by: Cao, Mengyang, et al.
Published: (2025)
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
by: De Nadai, Marco, et al.
Published: (2024)
by: De Nadai, Marco, et al.
Published: (2024)
Graph Cross-Correlated Network for Recommendation
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
SOLAR: SVD-Optimized Lifelong Attention for Recommendation
by: Zhang, Chenghao, et al.
Published: (2026)
by: Zhang, Chenghao, et al.
Published: (2026)
When Box Meets Graph Neural Network in Tag-aware Recommendation
by: Lin, Fake, et al.
Published: (2024)
by: Lin, Fake, et al.
Published: (2024)
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
by: Yin, Yabo, et al.
Published: (2024)
by: Yin, Yabo, et al.
Published: (2024)
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024)
by: Burabak, Mert, et al.
Published: (2024)
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
by: Shen, Kaiming, et al.
Published: (2024)
by: Shen, Kaiming, et al.
Published: (2024)
A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network
by: Bansal, Shubhi, et al.
Published: (2024)
by: Bansal, Shubhi, et al.
Published: (2024)
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)
by: Shen, Junhao, et al.
Published: (2024)
Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)
by: Senapati, Aadarsh, et al.
Published: (2026)
Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation
by: Su, Jingsong, et al.
Published: (2026)
by: Su, Jingsong, et al.
Published: (2026)
A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)
by: Sharma, Kartik, et al.
Published: (2022)
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
by: Zhang, Hengyu, et al.
Published: (2025)
by: Zhang, Hengyu, et al.
Published: (2025)
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)
by: Gu, Hongjian, et al.
Published: (2023)
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)
by: Liu, Yuxi, et al.
Published: (2024)
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
by: Li, Jianan, et al.
Published: (2025)
by: Li, Jianan, et al.
Published: (2025)
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
by: Liu, Junrui, et al.
Published: (2025)
by: Liu, Junrui, et al.
Published: (2025)
Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022)
by: Wang, Xi, et al.
Published: (2022)
Similar Items
-
Dual-Channel Multiplex Graph Neural Networks for Recommendation
by: Li, Xiang, et al.
Published: (2024) -
Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation
by: Zhan, Tianyu, et al.
Published: (2026) -
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
by: Han, Jinkun, et al.
Published: (2025) -
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
by: Li, Zihao, et al.
Published: (2024) -
Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)