Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Yao, Zhao, Yibo, Zhu, Jiapeng, Liu, Yao, Sun, Xing, Li, Xiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
by: Zhao, Yibo, et al.
Published: (2025)
by: Zhao, Yibo, et al.
Published: (2025)
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph
by: Zhao, Yibo, et al.
Published: (2024)
by: Zhao, Yibo, et al.
Published: (2024)
Less is More: on the Over-Globalizing Problem in Graph Transformers
by: Xing, Yujie, et al.
Published: (2024)
by: Xing, Yujie, et al.
Published: (2024)
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025)
by: Wang, Juyuan, et al.
Published: (2025)
Adversarial Graph Disentanglement
by: Zheng, Shuai, et al.
Published: (2021)
by: Zheng, Shuai, et al.
Published: (2021)
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)
by: Cornelio, Cristina, et al.
Published: (2025)
Generalization in LLM Problem Solving: The Case of the Shortest Path
by: Tong, Yao, et al.
Published: (2026)
by: Tong, Yao, et al.
Published: (2026)
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
by: Yu, Jing, et al.
Published: (2025)
by: Yu, Jing, et al.
Published: (2025)
GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
by: Li, Ziwen, et al.
Published: (2025)
by: Li, Ziwen, et al.
Published: (2025)
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs
by: Wang, Ruoyu, et al.
Published: (2024)
by: Wang, Ruoyu, et al.
Published: (2024)
Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)
by: Yao, Siyu, et al.
Published: (2019)
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
by: Cheng, Yao, et al.
Published: (2023)
by: Cheng, Yao, et al.
Published: (2023)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM
by: Liang, Siqi, et al.
Published: (2025)
by: Liang, Siqi, et al.
Published: (2025)
Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
by: Zhu, ZhiTeng, et al.
Published: (2025)
by: Zhu, ZhiTeng, et al.
Published: (2025)
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
by: Cui, Rongkun, et al.
Published: (2026)
by: Cui, Rongkun, et al.
Published: (2026)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
by: Liu, Yao
Published: (2025)
by: Liu, Yao
Published: (2025)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
by: Gong, Chenghua, et al.
Published: (2023)
by: Gong, Chenghua, et al.
Published: (2023)
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
by: Wei, Wanxu, et al.
Published: (2024)
by: Wei, Wanxu, et al.
Published: (2024)
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
GraphRAG under Fire
by: Liang, Jiacheng, et al.
Published: (2025)
by: Liang, Jiacheng, et al.
Published: (2025)
FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2024)
by: Wang, Zhenwei, et al.
Published: (2024)
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World
by: Zheng, Yu
Published: (2025)
by: Zheng, Yu
Published: (2025)
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
by: Feng, Zhangying, et al.
Published: (2025)
by: Feng, Zhangying, et al.
Published: (2025)
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
by: Sardina, Jeffrey, et al.
Published: (2024)
by: Sardina, Jeffrey, et al.
Published: (2024)
PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)
by: Radwan, Yousef A., et al.
Published: (2026)
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
by: Li, Hongpei, et al.
Published: (2024)
by: Li, Hongpei, et al.
Published: (2024)
Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
by: Guo, Haiyang, et al.
Published: (2024)
by: Guo, Haiyang, et al.
Published: (2024)
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
by: Jiang, Caigao, et al.
Published: (2024)
by: Jiang, Caigao, et al.
Published: (2024)
Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management
by: Zhang, Yao, et al.
Published: (2026)
by: Zhang, Yao, et al.
Published: (2026)
Dynamic Graph Condensation
by: Chen, Dong, et al.
Published: (2025)
by: Chen, Dong, et al.
Published: (2025)
Croppable Knowledge Graph Embedding
by: Zhu, Yushan, et al.
Published: (2024)
by: Zhu, Yushan, et al.
Published: (2024)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)
by: Wang, Bicheng, et al.
Published: (2025)
CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)
by: Radwan, Yousef A., et al.
Published: (2026)
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
Similar Items
-
E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
by: Zhao, Yibo, et al.
Published: (2025) -
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph
by: Zhao, Yibo, et al.
Published: (2024) -
Less is More: on the Over-Globalizing Problem in Graph Transformers
by: Xing, Yujie, et al.
Published: (2024) -
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025) -
Adversarial Graph Disentanglement
by: Zheng, Shuai, et al.
Published: (2021)