Copertina

LightGNN: Simple Graph Neural Network for Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Guoxuan, Xia, Lianghao, Huang, Chao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

DiffGraph: Heterogeneous Graph Diffusion Model
di: Li, Zongwei, et al.
Pubblicazione: (2025)

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

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

Graph Augmentation for Recommendation
di: Zhang, Qianru, et al.
Pubblicazione: (2024)

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

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

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

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
di: Li, Chen, et al.
Pubblicazione: (2023)

MixRec: Heterogeneous Graph Collaborative Filtering
di: Xia, Lianghao, et al.
Pubblicazione: (2024)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
di: Färber, Michael, et al.
Pubblicazione: (2025)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
di: Zhang, Jinyu, et al.
Pubblicazione: (2024)

Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
di: Latif, Rafayel, et al.
Pubblicazione: (2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey
di: Wu, Bin, et al.
Pubblicazione: (2025)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
di: Guidotti, Sabrina, et al.
Pubblicazione: (2024)

An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
di: Wu, Zhizhong
Pubblicazione: (2024)

Scalable Neural Network Training over Distributed Graphs
di: Kolluri, Aashish, et al.
Pubblicazione: (2023)

STAR: A Simple Training-free Approach for Recommendations using Large Language Models
di: Lee, Dong-Ho, et al.
Pubblicazione: (2024)

Hgformer: Hyperbolic Graph Transformer for Recommendation
di: Yang, Xin, et al.
Pubblicazione: (2024)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
di: Jin, Jiarui, et al.
Pubblicazione: (2022)

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
di: Le, Ngoc Luyen, et al.
Pubblicazione: (2025)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
di: Liu, Guangyi, et al.
Pubblicazione: (2024)

Review of Explainable Graph-Based Recommender Systems
di: Markchom, Thanet, et al.
Pubblicazione: (2024)

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

Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System
di: Yunus, Fajrian, et al.
Pubblicazione: (2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
di: Wu, Yiqing, et al.
Pubblicazione: (2024)

Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
di: Öztürk, Sümeyye, et al.
Pubblicazione: (2024)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
di: Choi, Jeongwhan, et al.
Pubblicazione: (2023)

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
di: Xia, Linhan, et al.
Pubblicazione: (2024)

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
di: Zhang, Juzheng, et al.
Pubblicazione: (2024)

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
di: Chen, Yiwen, et al.
Pubblicazione: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
di: Baikalov, Vladimir, et al.
Pubblicazione: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
di: Zhao, Chu, et al.
Pubblicazione: (2024)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
di: Sun, Yi, et al.
Pubblicazione: (2024)

Representation Learning with Large Language Models for Recommendation
di: Ren, Xubin, et al.
Pubblicazione: (2023)

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

Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
di: Balloccu, Giacomo, et al.
Pubblicazione: (2023)

DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation
di: He, Xinyu, et al.
Pubblicazione: (2024)

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
di: Dai, Yanjun, et al.
Pubblicazione: (2025)