Cover Image

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mavromatis, Costas, Karypis, George
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
by: Mavromatis, Costas, et al.
Published: (2024)

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
by: Mavromatis, Costas, et al.
Published: (2024)

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Graph Neural Prompting with Large Language Models
by: Tian, Yijun, et al.
Published: (2023)

StyleBench: Evaluating thinking styles in Large Language Models
by: Guo, Junyu, et al.
Published: (2025)

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
by: Lin, Fangru, et al.
Published: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
by: Fang, Haoyang, et al.
Published: (2026)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG
by: Klila, Jaafer, et al.
Published: (2026)

Large Language and Reasoning Models are Shallow Disjunctive Reasoners
by: Khalid, Irtaza, et al.
Published: (2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)

Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies
by: Škrlj, Blaž, et al.
Published: (2025)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
by: Qiu, Yifu, et al.
Published: (2025)

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
by: Kachuee, Mohammad, et al.
Published: (2025)

Can Large Language Models Reason and Plan?
by: Kambhampati, Subbarao
Published: (2024)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)

Extending Input Contexts of Language Models through Training on Segmented Sequences
by: Karypis, Petros, et al.
Published: (2023)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
by: Liu, Dongqi, et al.
Published: (2026)

To Memorize or to Retrieve: Scaling Laws for RAG-Considerate Pretraining
by: Singh, Karan, et al.
Published: (2026)

Evaluating the Robustness of Analogical Reasoning in Large Language Models
by: Lewis, Martha, et al.
Published: (2024)

The Role of Deductive and Inductive Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
by: Mavromatis, Costas, et al.
Published: (2025)

Offline Learning and Forgetting for Reasoning with Large Language Models
by: Ni, Tianwei, et al.
Published: (2025)

Generative Evaluation of Complex Reasoning in Large Language Models
by: Lin, Haowei, et al.
Published: (2025)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
by: Yang, Haotong, et al.
Published: (2024)

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
by: Huang, Yukun, et al.
Published: (2025)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)

GUNDAM: Aligning Large Language Models with Graph Understanding
by: Ouyang, Sheng, et al.
Published: (2024)

Multi-Step Reasoning with Large Language Models, a Survey
by: Plaat, Aske, et al.
Published: (2024)

Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)

Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)