Copertina

On the Evolution of Knowledge Graphs: A Survey and Perspective

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Sun, Xun, Tang, Lumingyuan, Wang, Saizhuo, Chen, Zhongwu, Wang, Yuanzhuo, Guo, Jian
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
di: Jiang, Xuhui, et al.
Pubblicazione: (2023)

A Survey on Large Language Model Hallucination via a Creativity Perspective
di: Jiang, Xuhui, et al.
Pubblicazione: (2024)

Context Graph
di: Xu, Chengjin, et al.
Pubblicazione: (2024)

JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
di: Shi, Zhichao, et al.
Pubblicazione: (2025)

Unlocking the Power of Large Language Models for Entity Alignment
di: Jiang, Xuhui, et al.
Pubblicazione: (2024)

A Survey on LLM-as-a-Judge
di: Gu, Jiawei, et al.
Pubblicazione: (2024)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
di: Chen, Zhongwu, et al.
Pubblicazione: (2024)

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
di: Ma, Shengjie, et al.
Pubblicazione: (2025)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
di: Sun, Jiashuo, et al.
Pubblicazione: (2023)

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
di: Li, Muzhi, et al.
Pubblicazione: (2024)

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
di: Li, Muzhi, et al.
Pubblicazione: (2024)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
di: Ma, Shengjie, et al.
Pubblicazione: (2024)

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
di: Yuan, Hang, et al.
Pubblicazione: (2024)

Learning to Ponder: Adaptive Reasoning in Latent Space
di: He, Yixin, et al.
Pubblicazione: (2025)

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
di: Guo, Jian, et al.
Pubblicazione: (2024)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
di: Chen, Zhanpeng, et al.
Pubblicazione: (2024)

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
di: Wang, Saizhuo, et al.
Pubblicazione: (2024)

Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
di: Yang, Cehao, et al.
Pubblicazione: (2025)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
di: Liu, Honghao, et al.
Pubblicazione: (2026)

Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
di: Liu, Lihui, et al.
Pubblicazione: (2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
di: Tan, Hexiang, et al.
Pubblicazione: (2024)

A Practical Introduction to Deep Reinforcement Learning
di: Sun, Yinghan, et al.
Pubblicazione: (2025)

When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression
di: Dai, Xinnan, et al.
Pubblicazione: (2026)

Towards Better Evolution Modeling for Temporal Knowledge Graphs
di: Jiasheng, Zhang, et al.
Pubblicazione: (2026)

Empowering GraphRAG with Knowledge Filtering and Integration
di: Guo, Kai, et al.
Pubblicazione: (2025)

CHAINSFORMER: Numerical Reasoning on Knowledge Graphs from a Chain Perspective
di: Zhao, Ze, et al.
Pubblicazione: (2025)

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
di: Wang, Saizhuo, et al.
Pubblicazione: (2023)

The Evolution and Future Perspectives of Artificial Intelligence Generated Content
di: Zhu, Chengzhang, et al.
Pubblicazione: (2024)

Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject
di: Duan, Zenghao, et al.
Pubblicazione: (2025)

WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning
di: Wang, Junjie, et al.
Pubblicazione: (2026)

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective
di: Wang, Qiaosi, et al.
Pubblicazione: (2025)

A Survey of Link Prediction in N-ary Knowledge Graphs
di: Wei, Jiyao, et al.
Pubblicazione: (2025)

ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
di: Xu, Zhengzhuo, et al.
Pubblicazione: (2025)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
di: Luo, Yi, et al.
Pubblicazione: (2024)

SEDEG:Sequential Enhancement of Decoder and Encoder's Generality for Class Incremental Learning with Small Memory
di: Chen, Hongyang, et al.
Pubblicazione: (2025)

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
di: Ye, Wen, et al.
Pubblicazione: (2024)

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
di: Sun, Kai, et al.
Pubblicazione: (2024)

Temporal Knowledge Graph Question Answering: A Survey
di: Su, Miao, et al.
Pubblicazione: (2024)

Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
di: Chen, Hongyang, et al.
Pubblicazione: (2026)

LayerGS: Decomposition and Inpainting of Layered 3D Human Avatars via 2D Gaussian Splatting
di: Xu, Yinghan, et al.
Pubblicazione: (2026)