Cover Image

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Ruiyao, Ding, Kaize
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
by: Mavromatis, Costas, et al.
Published: (2024)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
by: Lin, Qika, et al.
Published: (2025)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
by: Zhao, Gongpei, et al.
Published: (2024)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2024)

Can GNN be Good Adapter for LLMs?
by: Huang, Xuanwen, et al.
Published: (2024)

FLAG: Financial Long Document Classification via AMR-based GNN
by: Xia, Bolun "Namir", et al.
Published: (2024)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
by: Xu, Junjie, et al.
Published: (2024)

SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
by: Lv, Yaojia, et al.
Published: (2024)

On Evaluating LLM Alignment by Evaluating LLMs as Judges
by: Liu, Yixin, et al.
Published: (2025)

Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure
by: Xu, Shengjie, et al.
Published: (2024)

Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
by: Wang, Zhaoyan, et al.
Published: (2025)

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
by: Wu, Jiaxing, et al.
Published: (2024)

Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
by: Hu, Zhengyu, et al.
Published: (2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
by: Zhu, Xi, et al.
Published: (2025)

Cat-DPO: Category-Adaptive Safety Alignment
by: Yang, Tiankai, et al.
Published: (2026)

Each Graph is a New Language: Graph Learning with LLMs
by: Zhou, Huachi, et al.
Published: (2025)

LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
by: Liu, Yixin, et al.
Published: (2026)

Enabling Weak LLMs to Judge Response Reliability via Meta Ranking
by: Liu, Zijun, et al.
Published: (2024)

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
by: Chaudhari, Shreyas, et al.
Published: (2024)

Understanding Expressivity of GNN in Rule Learning
by: Qiu, Haiquan, et al.
Published: (2023)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
by: Xu, Austin, et al.
Published: (2025)

Shapley-Value-Based Graph Sparsification for GNN Inference
by: Akkas, Selahattin, et al.
Published: (2025)

Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
by: Xu, Ran, et al.
Published: (2025)

Unleashing Diverse Thinking Modes in LLMs through Multi-Agent Collaboration
by: He, Zhixuan, et al.
Published: (2025)

LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)

Investigating Non-Transitivity in LLM-as-a-Judge
by: Xu, Yi, et al.
Published: (2025)

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
by: Zhang, Wenbo, et al.
Published: (2024)

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
by: Zhang, Xingxuan, et al.
Published: (2025)

JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026)

JudgeBench: A Benchmark for Evaluating LLM-based Judges
by: Tan, Sijun, et al.
Published: (2024)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)

GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning
by: Hu, Xingjian, et al.
Published: (2026)

GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
by: Luo, Yuebo, et al.
Published: (2026)

MQ-GNN: A Multi-Queue Pipelined Architecture for Scalable and Efficient GNN Training
by: Ullah, Irfan, et al.
Published: (2026)

Becoming Experienced Judges: Selective Test-Time Learning for Evaluators
by: Jwa, Seungyeon, et al.
Published: (2025)