Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Sang, Lei, Wang, Yu, Zhang, Yi, Zhang, Yiwen, Wu, Xindong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)
by: Sang, Lei, et al.
Published: (2025)
Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, 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)
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)
by: Wang, Yuling, et al.
Published: (2024)
Fusion Self-supervised Learning for Recommendation
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
CETN: Contrast-enhanced Through Network for CTR Prediction
by: Li, Honghao, et al.
Published: (2023)
by: Li, Honghao, et al.
Published: (2023)
Feature Interaction Fusion Self-Distillation Network For CTR Prediction
by: Sang, Lei, et al.
Published: (2024)
by: Sang, Lei, et al.
Published: (2024)
Dual-domain Collaborative Denoising for Social Recommendation
by: Chen, Wenjie, et al.
Published: (2024)
by: Chen, Wenjie, 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)
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)
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
by: Lu, Ziang, et al.
Published: (2026)
by: Lu, Ziang, et al.
Published: (2026)
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)
MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
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)
HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
by: Zhang, Hengyu, et al.
Published: (2024)
by: Zhang, Hengyu, 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)
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)
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)
by: Zhang, Weizhi, et al.
Published: (2024)
From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models
by: Li, Honghao, et al.
Published: (2024)
by: Li, Honghao, et al.
Published: (2024)
Graph Contrastive Learning on Multi-label Classification for Recommendations
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)
by: Zhang, Chunxu, et al.
Published: (2023)
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)
by: Wang, Yansong, 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)
Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2026)
by: Wang, Zhikai, et al.
Published: (2026)
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)
Quadratic Interest Network for Multimodal Click-Through Rate Prediction
by: Li, Honghao, et al.
Published: (2025)
by: Li, Honghao, et al.
Published: (2025)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)
by: Wu, Renzhi, et al.
Published: (2025)
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
by: Huang, Manzong, et al.
Published: (2025)
by: Huang, Manzong, et al.
Published: (2025)
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Rethinking Contrastive Learning in Session-based Recommendation
by: Zhang, Xiaokun, et al.
Published: (2025)
by: Zhang, Xiaokun, et al.
Published: (2025)
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
by: Li, Honghao, et al.
Published: (2024)
by: Li, Honghao, et al.
Published: (2024)
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
by: Li, Honghao, et al.
Published: (2024)
by: Li, Honghao, 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)
Similar Items
-
Generative-Contrastive Heterogeneous Graph Neural Network
by: Wang, Yu, et al.
Published: (2024) -
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025) -
Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025) -
DIAURec: Dual-Intent Space Representation Optimization for Recommendation
by: Zhang, Yu, et al.
Published: (2026) -
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
by: Zhang, Yi, et al.
Published: (2024)