Cover Image

LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Hailong, Wu, Bin, Jia, Hongyong, Zhu, Qingqing, Shan, Lianlei
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
by: Fu, Haoyan, et al.
Published: (2025)

Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework
by: Zhu, Zhangchi, et al.
Published: (2026)

Direct Preference Optimization for LLM-Enhanced Recommendation Systems
by: Sun, Chao, et al.
Published: (2024)

Towards LLM-Enhanced Group Recommender Systems
by: Lubos, Sebastian, et al.
Published: (2025)

Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
by: Zhang, Yi, et al.
Published: (2025)

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)

DALI: LLM-Agent Enhanced Dual-Stream Adaptive Leadership Identification for Group Recommendations
by: Song, Boxun, et al.
Published: (2026)

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

LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations
by: Long, Boyuan, et al.
Published: (2025)

Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph
by: Zhang, Yuting, et al.
Published: (2026)

Identify Then Recommend: Towards Unsupervised Group Recommendation
by: Liu, Yue, et al.
Published: (2024)

Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation
by: Jiang, Jie, et al.
Published: (2025)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
by: Li, Xinyu, et al.
Published: (2024)

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

Reinforced Preference Optimization for Recommendation
by: Tan, Junfei, et al.
Published: (2025)

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
by: Liu, Hongyang, et al.
Published: (2025)

Learning Graph ODE for Continuous-Time Sequential Recommendation
by: Qin, Yifang, et al.
Published: (2023)

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
by: Wang, Xinyuan, et al.
Published: (2024)

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

LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
by: Sun, Yuqi, et al.
Published: (2025)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)

Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation
by: Liu, Yu, et al.
Published: (2026)

HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment
by: Pang, Yunsheng, et al.
Published: (2025)

RecCoT: Enhancing Recommendation via Chain-of-Thought
by: Yang, Shuo, et al.
Published: (2025)

Multi-behavior Recommendation with SVD Graph Neural Networks
by: Fu, Shengxi, et al.
Published: (2023)

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
by: Zhang, Shuo, et al.
Published: (2025)

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
by: Liu, Dugang, et al.
Published: (2024)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)

LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
by: Sakurai, Keigo, et al.
Published: (2024)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2023)

HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
by: Yin, Yabo, et al.
Published: (2024)

Report-based Recommendations for Policy Making and Agency Operations: Dataset and LLM Evaluation
by: Edwards, Aleksandra, et al.
Published: (2026)

Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)

Graph Bottlenecked Social Recommendation
by: Yang, Yonghui, et al.
Published: (2024)

Enhancing News Recommendation with Hierarchical LLM Prompting
by: Kieu, Hai-Dang, et al.
Published: (2025)

LLMDiRec: LLM-Enhanced Intent Diffusion for Sequential Recommendation
by: Chen, Bo-Chian, et al.
Published: (2025)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
by: Yuan, Wei, et al.
Published: (2024)