:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yuan, Peng, Li, Haojie, Fang, Minying, Yu, Xu, Hao, Yongjing, Du, Junwei
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2406.18984
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Behavior Pattern Mining-based Multi-Behavior Recommendation
by: Li, Haojie, et al.
Published: (2024)

Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity
by: Zhang, Yukun, et al.
Published: (2026)

On Mitigating Data Sparsity in Conversational Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2025)

Intent Propagation Contrastive Collaborative Filtering
by: Li, Haojie, et al.
Published: (2026)

Training Large Recommendation Models via Graph-Language Token Alignment
by: Yang, Mingdai, et al.
Published: (2025)

Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
by: Yu, Yantao, et al.
Published: (2026)

Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
by: Shi, Teng, et al.
Published: (2025)

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation
by: Zhang, Weizhi, et al.
Published: (2025)

Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)

Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)

Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
by: Abu-Rasheed, Hasan, et al.
Published: (2024)

Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation
by: Zhao, Sibo, et al.
Published: (2025)

Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
by: Chen, Hao, et al.
Published: (2025)

Traceable Drug Recommendation over Medical Knowledge Graphs
by: Lin, Yu, et al.
Published: (2025)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
by: Cao, Yuwei, et al.
Published: (2024)

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)

Gated Multimodal Graph Learning for Personalized Recommendation
by: Liu, Sibei, et al.
Published: (2025)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
by: Wang, Leyao, et al.
Published: (2025)

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
by: Cheng, Xinghe, et al.
Published: (2025)

Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024)

Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)

Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
by: Luo, Yuanshuai, et al.
Published: (2024)

How Powerful is Graph Filtering for Recommendation
by: Peng, Shaowen, et al.
Published: (2024)

LGMRec: Local and Global Graph Learning for Multimodal Recommendation
by: Guo, Zhiqiang, et al.
Published: (2023)

Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
by: Zhang, Hengyu, et al.
Published: (2024)

Knowledge Graph Pruning for Recommendation
by: Lin, Fake, et al.
Published: (2024)

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)

Improving Recommendation Fairness via Graph Structure and Representation Augmentation
by: Xu, Tongxin, et al.
Published: (2025)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning
by: Yang, Yonghui, et al.
Published: (2025)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
by: Yu, Jiaheng, et al.
Published: (2024)

Graph Cross-Correlated Network for Recommendation
by: Chen, Hao, et al.
Published: (2024)

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)