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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

6 February 2020

Meng Wang

Papers citing "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation"

50 / 1,025 papers shown

Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing

Maurizio Ferrari Dacrema

Michael Benigni

Nicola Ferro

282

30 Mar 2026

Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering

273

24 Dec 2025

GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace

178

02 Dec 2025

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation

113

27 Nov 2025

Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation

27 Nov 2025

E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems

318

25 Nov 2025

Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering

456

25 Nov 2025

Towards A Tri-View Diffusion Framework for Recommendation

226

25 Nov 2025

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding

Chin-Chia Michael Yeh

...

161

24 Nov 2025

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation

357

24 Nov 2025

From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation

Jeeho Shin

Kyungho Kim

Kijung Shin

135

24 Nov 2025

SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation

200

24 Nov 2025

Democratic Recommendation with User and Item Representatives Produced by Graph Condensation

114

23 Nov 2025

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration

156

22 Nov 2025

Towards Automating Data Access Permissions in AI Agents

116

22 Nov 2025

Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems

127

22 Nov 2025

PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling

Zhongjie Dai

Tao Feng

Jiaxuan You

142

21 Nov 2025

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation

518

19 Nov 2025

Effective Diversification of Multi-Carousel Book Recommendation

Daniël Wilten

Gideon Maillette de Buy Wenniger

Arjen Hommersom

Paul Lucassen

Emiel Poortman

18 Nov 2025

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024

127

17 Nov 2025

Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation

Yu Hou

Won-Yong Shin

127

17 Nov 2025

Task-Aware Retrieval Augmentation for Dynamic Recommendation

131

16 Nov 2025

Continuous-time Discrete-space Diffusion Model for Recommendation

167

15 Nov 2025

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization

221

10 Nov 2025

Learning to Fast Unrank in Collaborative Filtering Recommendation

261

10 Nov 2025

Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models

Tianrui Song

Wen-Shuo Chao

Hao Liu

311

10 Nov 2025

Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce

181

08 Nov 2025

Denoised Recommendation Model with Collaborative Signal Decoupling

Zefeng Li

Ning Yang

126

06 Nov 2025

Stochastic Deep Graph Clustering for Practical Group Formation

101

04 Nov 2025

Rethinking LLM Human Simulation: When a Graph is What You Need

183

03 Nov 2025

Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion

171

03 Nov 2025

Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals

Doyun Choi

Cheonwoo Lee

Jaemin Yoo

297

01 Nov 2025

Structurally Refined Graph Transformer for Multimodal Recommendation

181

01 Nov 2025

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems

344

29 Oct 2025

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation

148

29 Oct 2025

Inductive Transfer Learning for Graph-Based Recommenders

138

26 Oct 2025

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation

162

24 Oct 2025

LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems

269

23 Oct 2025

Enhancing Graph Neural Networks: A Mutual Learning Approach

207

22 Oct 2025

Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation

156

21 Oct 2025

A Simulation Framework for Studying Systemic Effects of Feedback Loops in Recommender Systems

145

16 Oct 2025

Causality Enhancement for Cross-Domain Recommendation

143

16 Oct 2025

Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering

153

14 Oct 2025

Leveraging Language Semantics for Collaborative Filtering with TextGCN and TextGCN-MLP: Zero-Shot vs In-Domain Performance

Andrei Chernov

Haroon Wahab

Oleg Novitskij

120

14 Oct 2025

MIARec: Mutual-influence-aware Heterogeneous Network Embedding for Scientific Paper Recommendation

Wenjin Xie

Tao Jia

132

14 Oct 2025

Causal Inspired Multi Modal Recommendation

134

14 Oct 2025

Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs

223

14 Oct 2025

Aligning Language Models with Investor and Market Behavior for Financial Recommendations

Fernando Spadea

Oshani Seneviratne

AIFin

171

14 Oct 2025

Multi-View Graph Learning with Graph-Tuple

Shiyu Chen

Ningyuan Huang

Soledad Villar

317

11 Oct 2025

Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled PropagationProceedings of the VLDB Endowment (PVLDB), 2025

182

11 Oct 2025