Copertina

Graph Machine Learning in the Era of Large Language Models (LLMs)

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Shijie, Huang, Jiani, Chen, Zhikai, Song, Yu, Tang, Wenzhuo, Mao, Haitao, Fan, Wenqi, Liu, Hui, Liu, Xiaorui, Yin, Dawei, Li, Qing
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computation and Language Social and Information Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
di: Huang, Jiani, et al.
Pubblicazione: (2025)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
di: Chen, Zhikai, et al.
Pubblicazione: (2023)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
di: Fan, Wenqi, et al.
Pubblicazione: (2024)

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
di: Huang, Jiani, et al.
Pubblicazione: (2026)

Recommender Systems in the Era of Large Language Models (LLMs)
di: Zhao, Zihuai, et al.
Pubblicazione: (2023)

Computational Protein Science in the Era of Large Language Models (LLMs)
di: Fan, Wenqi, et al.
Pubblicazione: (2025)

Rethinking Large Language Model Architectures for Sequential Recommendations
di: Wang, Hanbing, et al.
Pubblicazione: (2024)

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

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

TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation
di: Wu, Jiahao, et al.
Pubblicazione: (2023)

Continuous-time Discrete-space Diffusion Model for Recommendation
di: Liu, Chengyi, et al.
Pubblicazione: (2025)

LLMRec: Large Language Models with Graph Augmentation for Recommendation
di: Wei, Wei, et al.
Pubblicazione: (2023)

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

Score-based Generative Diffusion Models for Social Recommendations
di: Liu, Chengyi, et al.
Pubblicazione: (2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
di: Dong, Qian, et al.
Pubblicazione: (2023)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
di: Wang, Shijie, et al.
Pubblicazione: (2026)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
di: Chen, Zhikai, et al.
Pubblicazione: (2023)

The Application of Large Language Models in Recommendation Systems
di: Yu, Peiyang, et al.
Pubblicazione: (2025)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
di: Dong, Qian, et al.
Pubblicazione: (2023)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
di: Zhang, Weizhi, et al.
Pubblicazione: (2025)

Enhancing User Intent for Recommendation Systems via Large Language Models
di: Xu, Xiaochuan, et al.
Pubblicazione: (2025)

Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
di: Wang, Yuxiang, et al.
Pubblicazione: (2025)

Manufacturing Service Capability Prediction with Graph Neural Networks
di: Li, Yunqing, et al.
Pubblicazione: (2024)

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
di: Liu, Jingzhe, et al.
Pubblicazione: (2024)

Meaning‐making during mental health struggles: Transitional information practices among individuals with obsessive‐compulsive disorder
di: Yuxiang Chris Zhao, et al.
Pubblicazione: (2025)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
di: Yang, Haoran, et al.
Pubblicazione: (2024)

Whole Page Unbiased Learning to Rank
di: Mao, Haitao, et al.
Pubblicazione: (2022)

Large Search Model: Redefining Search Stack in the Era of LLMs
di: Wang, Liang, et al.
Pubblicazione: (2023)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
di: Yang, Zhen, et al.
Pubblicazione: (2025)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
di: Chen, Yiqun, et al.
Pubblicazione: (2024)

Multi-agent Attacks for Black-box Social Recommendations
di: Wang, Shijie, et al.
Pubblicazione: (2023)

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
di: Wang, Bohao, et al.
Pubblicazione: (2026)

Dataset Condensation for Recommendation
di: Wu, Jiahao, et al.
Pubblicazione: (2023)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
di: Ning, Liangbo, et al.
Pubblicazione: (2025)

Coherency Improved Explainable Recommendation via Large Language Model
di: Liu, Shijie, et al.
Pubblicazione: (2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
di: Huang, Chengkai, et al.
Pubblicazione: (2025)

A Pure Transformer Pretraining Framework on Text-attributed Graphs
di: Song, Yu, et al.
Pubblicazione: (2024)

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
di: Huang, Yiming, et al.
Pubblicazione: (2025)

Position: Graph Foundation Models are Already Here
di: Mao, Haitao, et al.
Pubblicazione: (2024)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
di: Wang, Xiaolei, et al.
Pubblicazione: (2023)