GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Tian, Yifang, Liu, Yaming, Chong, Zichun, Huang, Zihang, Jacobsen, Hans-Arno |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Root Cause Analysis Method Based on Large Language Models with Residual Connection Structures
par: Zhou, Liming, et autres
Publié: (2026)
par: Zhou, Liming, et autres
Publié: (2026)
FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
par: Wang, Huanchi, et autres
Publié: (2026)
par: Wang, Huanchi, et autres
Publié: (2026)
LLM-Augmented Knowledge Base Construction For Root Cause Analysis
par: Tran, Nguyen Phuc, et autres
Publié: (2026)
par: Tran, Nguyen Phuc, et autres
Publié: (2026)
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
par: Sow, Daouda, et autres
Publié: (2025)
par: Sow, Daouda, et autres
Publié: (2025)
MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
par: Tang, Pan, et autres
Publié: (2025)
par: Tang, Pan, et autres
Publié: (2025)
Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
par: Xiang, Yong, et autres
Publié: (2025)
par: Xiang, Yong, et autres
Publié: (2025)
Adversarial Robustness of Partitioned Quantum Classifiers
par: Kananian, Pouya, et autres
Publié: (2025)
par: Kananian, Pouya, et autres
Publié: (2025)
SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
par: Clark, Jackson, et autres
Publié: (2026)
par: Clark, Jackson, et autres
Publié: (2026)
Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
par: Zhang, Lingzhe, et autres
Publié: (2026)
par: Zhang, Lingzhe, et autres
Publié: (2026)
Choosing a Classical Planner with Graph Neural Networks
par: Vatter, Jana, et autres
Publié: (2024)
par: Vatter, Jana, et autres
Publié: (2024)
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
par: Wang, Tingting, et autres
Publié: (2024)
par: Wang, Tingting, et autres
Publié: (2024)
Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
par: Sana, Mohamed, et autres
Publié: (2025)
par: Sana, Mohamed, et autres
Publié: (2025)
MAR-FL: A Communication Efficient Peer-to-Peer Federated Learning System
par: Mulitze, Felix, et autres
Publié: (2025)
par: Mulitze, Felix, et autres
Publié: (2025)
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
par: Guan, Wei, et autres
Publié: (2025)
par: Guan, Wei, et autres
Publié: (2025)
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
par: Li, Wenhao, et autres
Publié: (2025)
par: Li, Wenhao, et autres
Publié: (2025)
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
par: Li, Han, et autres
Publié: (2026)
par: Li, Han, et autres
Publié: (2026)
A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models
par: Wen, Jiayi, et autres
Publié: (2025)
par: Wen, Jiayi, et autres
Publié: (2025)
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
par: Luo, Junyu, et autres
Publié: (2024)
par: Luo, Junyu, et autres
Publié: (2024)
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
par: Geng, Jiahui, et autres
Publié: (2025)
par: Geng, Jiahui, et autres
Publié: (2025)
Cause and Effect: Can Large Language Models Truly Understand Causality?
par: Ashwani, Swagata, et autres
Publié: (2024)
par: Ashwani, Swagata, et autres
Publié: (2024)
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
par: Liu, Tianqiao, et autres
Publié: (2024)
par: Liu, Tianqiao, et autres
Publié: (2024)
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
par: Yang, Yaming, et autres
Publié: (2025)
par: Yang, Yaming, et autres
Publié: (2025)
GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning
par: Ying, Yuchen, et autres
Publié: (2026)
par: Ying, Yuchen, et autres
Publié: (2026)
PORCA: Root Cause Analysis with Partially Observed Data
par: Gong, Chang, et autres
Publié: (2024)
par: Gong, Chang, et autres
Publié: (2024)
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
par: Merkel, Nikolai, et autres
Publié: (2024)
par: Merkel, Nikolai, et autres
Publié: (2024)
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
par: Fan, Shengda, et autres
Publié: (2024)
par: Fan, Shengda, et autres
Publié: (2024)
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
par: Chen, Jiyu, et autres
Publié: (2024)
par: Chen, Jiyu, et autres
Publié: (2024)
Explainable Model Routing for Agentic Workflows
par: Okamoto, Mika, et autres
Publié: (2026)
par: Okamoto, Mika, et autres
Publié: (2026)
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
par: Wang, Zefan, et autres
Publié: (2023)
par: Wang, Zefan, et autres
Publié: (2023)
A Sober Look at Agentic Misalignment in Automated Workflows
par: Ye, Wenqian, et autres
Publié: (2026)
par: Ye, Wenqian, et autres
Publié: (2026)
AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Editing
par: Le, Khiem, et autres
Publié: (2024)
par: Le, Khiem, et autres
Publié: (2024)
GraphAgent: Agentic Graph Language Assistant
par: Yang, Yuhao, et autres
Publié: (2024)
par: Yang, Yuhao, et autres
Publié: (2024)
Automated Root Cause Analysis System for Complex Data Products
par: Demarne, Mathieu, et autres
Publié: (2024)
par: Demarne, Mathieu, et autres
Publié: (2024)
A Goal-Driven Survey on Root Cause Analysis
par: Fang, Aoyang, et autres
Publié: (2025)
par: Fang, Aoyang, et autres
Publié: (2025)
Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model Systems
par: Babu, Rahul Suresh, et autres
Publié: (2026)
par: Babu, Rahul Suresh, et autres
Publié: (2026)
Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
par: Huang, Tairan, et autres
Publié: (2026)
par: Huang, Tairan, et autres
Publié: (2026)
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
par: Wei, Chunyu, et autres
Publié: (2025)
par: Wei, Chunyu, et autres
Publié: (2025)
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
par: Wehner, Christoph, et autres
Publié: (2024)
par: Wehner, Christoph, et autres
Publié: (2024)
Large Language Models for Networking: Workflow, Advances and Challenges
par: Liu, Chang, et autres
Publié: (2024)
par: Liu, Chang, et autres
Publié: (2024)
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
par: Feng, Yifan, et autres
Publié: (2024)
par: Feng, Yifan, et autres
Publié: (2024)
Documents similaires
-
Root Cause Analysis Method Based on Large Language Models with Residual Connection Structures
par: Zhou, Liming, et autres
Publié: (2026) -
FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
par: Wang, Huanchi, et autres
Publié: (2026) -
LLM-Augmented Knowledge Base Construction For Root Cause Analysis
par: Tran, Nguyen Phuc, et autres
Publié: (2026) -
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
par: Sow, Daouda, et autres
Publié: (2025) -
MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
par: Tang, Pan, et autres
Publié: (2025)