:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qianru, Xia, Lianghao, Cai, Xuheng, Yiu, Siuming, Huang, Chao, Jensen, Christian S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	https://arxiv.org/abs/2403.16656
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)

Pre-training for Recommendation Unlearning
by: Chen, Guoxuan, et al.
Published: (2025)

DiffGraph: Heterogeneous Graph Diffusion Model
by: Li, Zongwei, et al.
Published: (2025)

SSLRec: A Self-Supervised Learning Framework for Recommendation
by: Ren, Xubin, et al.
Published: (2023)

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)

GraphPro: Graph Pre-training and Prompt Learning for Recommendation
by: Yang, Yuhao, et al.
Published: (2023)

RecDiff: Diffusion Model for Social Recommendation
by: Li, Zongwei, et al.
Published: (2024)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
by: Zhang, Qianru, et al.
Published: (2024)

Dual-Channel Multiplex Graph Neural Networks for Recommendation
by: Li, Xiang, et al.
Published: (2024)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)

A Comprehensive Survey on Self-Supervised Learning for Recommendation
by: Ren, Xubin, et al.
Published: (2024)

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
by: Wei, Wei, et al.
Published: (2024)

Debiased Model-based Interactive Recommendation
by: Li, Zijian, et al.
Published: (2024)

RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024)

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

Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
by: Zhang, Jinyu, et al.
Published: (2025)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

STARS: Semantic Tokens with Augmented Representations for Recommendation at Scale
by: Chen, Han, et al.
Published: (2025)

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

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
by: Yao, Hongyu, et al.
Published: (2025)

MixRec: Heterogeneous Graph Collaborative Filtering
by: Xia, Lianghao, et al.
Published: (2024)

Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)

DiffMM: Multi-Modal Diffusion Model for Recommendation
by: Jiang, Yangqin, et al.
Published: (2024)

RecGPT: A Foundation Model for Sequential Recommendation
by: Jiang, Yangqin, et al.
Published: (2025)

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
by: Xu, Cong, et al.
Published: (2023)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)

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

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
by: Cao, Mengyang, et al.
Published: (2025)

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
by: Kim, Chanwoo, et al.
Published: (2025)

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

MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)

Neural Network Graph Similarity Computation Based on Graph Fusion
by: Chang, Zenghui, et al.
Published: (2025)

Fair Augmentation for Graph Collaborative Filtering
by: Boratto, Ludovico, et al.
Published: (2024)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
by: Ge, Chendi, et al.
Published: (2025)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
by: He, Jia-Xin, et al.
Published: (2026)

LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

Revisiting Graph Projections for Effective Complementary Product Recommendation
by: Anghinoni, Leandro, et al.
Published: (2025)