Intent-aware Recommendation via Disentangled Graph Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuling, Wang, Xiao, Huang, Xiangzhou, Yu, Yanhua, Li, Haoyang, Zhang, Mengdi, Guo, Zirui, Wu, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024)
by: Sang, Lei, et al.
Published: (2024)
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
by: Choi, Yijin, et al.
Published: (2025)
by: Choi, Yijin, et al.
Published: (2025)
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
by: Qu, Yuanpeng, et al.
Published: (2025)
by: Qu, Yuanpeng, et al.
Published: (2025)
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
by: Li, Hourun, et al.
Published: (2024)
by: Li, Hourun, et al.
Published: (2024)
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)
by: Tang, Jiakai, et al.
Published: (2024)
Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2026)
by: Wang, Zhikai, et al.
Published: (2026)
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)
by: Sang, Lei, et al.
Published: (2025)
BIPCL: Bilateral Intent-Enhanced Sequential Recommendation via Embedding Perturbation Contrastive Learning
by: Zhang, Shanfan, et al.
Published: (2026)
by: Zhang, Shanfan, et al.
Published: (2026)
Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)
by: Wang, Yansong, et al.
Published: (2025)
Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
by: Zhang, Shuo, et al.
Published: (2025)
by: Zhang, Shuo, et al.
Published: (2025)
Position-aware Graph Transformer for Recommendation
by: Chen, Jiajia, et al.
Published: (2024)
by: Chen, Jiajia, et al.
Published: (2024)
A Survey on Intent-aware Recommender Systems
by: Jannach, Dietmar, et al.
Published: (2024)
by: Jannach, Dietmar, et al.
Published: (2024)
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)
by: Liang, Shunpan, et al.
Published: (2024)
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)
by: Lin, Zhutian, et al.
Published: (2024)
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Enhancing User Intent for Recommendation Systems via Large Language Models
by: Xu, Xiaochuan, et al.
Published: (2025)
by: Xu, Xiaochuan, et al.
Published: (2025)
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation
by: Wang, Zongwei, et al.
Published: (2025)
by: Wang, Zongwei, et al.
Published: (2025)
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
by: Wang, Chen, et al.
Published: (2024)
by: Wang, Chen, et al.
Published: (2024)
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
by: Yu, Jiaheng, et al.
Published: (2024)
by: Yu, Jiaheng, et al.
Published: (2024)
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)
by: Guo, Linxin, et al.
Published: (2024)
Contrastive Learning Augmented Social Recommendations
by: Wang, Lin, et al.
Published: (2025)
by: Wang, Lin, et al.
Published: (2025)
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
by: Xu, Cong, et al.
Published: (2023)
by: Xu, Cong, et al.
Published: (2023)
Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation
by: Cui, Jiajun, et al.
Published: (2024)
by: Cui, Jiajun, et al.
Published: (2024)
Quality-Aware Collaborative Multi-Positive Contrastive Learning for Sequential Recommendation
by: Wang, Wei
Published: (2026)
by: Wang, Wei
Published: (2026)
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
Intent Propagation Contrastive Collaborative Filtering
by: Li, Haojie, et al.
Published: (2026)
by: Li, Haojie, et al.
Published: (2026)
SIGformer: Sign-aware Graph Transformer for Recommendation
by: Chen, Sirui, et al.
Published: (2024)
by: Chen, Sirui, et al.
Published: (2024)
Learning Graph ODE for Continuous-Time Sequential Recommendation
by: Qin, Yifang, et al.
Published: (2023)
by: Qin, Yifang, et al.
Published: (2023)
Graph Contrastive Learning on Multi-label Classification for Recommendations
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
by: Hu, Zeyu, et al.
Published: (2024)
by: Hu, Zeyu, et al.
Published: (2024)
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation
by: Wang, Xinhua, et al.
Published: (2023)
by: Wang, Xinhua, et al.
Published: (2023)
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026)
by: Zhang, Bin, et al.
Published: (2026)
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
by: Guo, Zhiqiang, et al.
Published: (2024)
by: Guo, Zhiqiang, et al.
Published: (2024)
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
by: Huang, Tao, et al.
Published: (2025)
by: Huang, Tao, et al.
Published: (2025)
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
DIAURec: Dual-Intent Space Representation Optimization for Recommendation
by: Zhang, Yu, et al.
Published: (2026)
by: Zhang, Yu, et al.
Published: (2026)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)
by: Zhang, Weizhi, et al.
Published: (2024)
Similar Items
-
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024) -
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
by: Choi, Yijin, et al.
Published: (2025) -
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
by: Qu, Yuanpeng, et al.
Published: (2025) -
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
by: Li, Hourun, et al.
Published: (2024) -
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)