Image de couverture de livre

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, Yuhan, Xu, Yuanyuan, Zhang, Wenjie, Xu, Xiwei, Zhang, Ying
Format:	Preprint
Publié:	2023
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
par: Tong, Ziye, et autres
Publié: (2026)

A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
par: Zhang, Zhiyu, et autres
Publié: (2025)

StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
par: Ni, Tengjun, et autres
Publié: (2025)

Augmented Knowledge Graph Querying leveraging LLMs
par: Arazzi, Marco, et autres
Publié: (2025)

Soft Reasoning Paths for Knowledge Graph Completion
par: Hou, Yanning, et autres
Publié: (2025)

Traceable Drug Recommendation over Medical Knowledge Graphs
par: Lin, Yu, et autres
Publié: (2025)

TRAIL: Joint Inference and Refinement of Knowledge Graphs with Large Language Models
par: Zhao, Xinkui, et autres
Publié: (2025)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
par: Wang, Shijie, et autres
Publié: (2026)

NoteLLM-2: Multimodal Large Representation Models for Recommendation
par: Zhang, Chao, et autres
Publié: (2024)

Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
par: Dong, Yuxin, et autres
Publié: (2024)

Unsupervised Query Routing for Retrieval Augmented Generation
par: Mu, Feiteng, et autres
Publié: (2025)

mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
par: Xu, Chuan, et autres
Publié: (2025)

Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm
par: Zhao, Jujia, et autres
Publié: (2025)

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
par: Chang, He, et autres
Publié: (2025)

LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
par: Sakurai, Keigo, et autres
Publié: (2024)

The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs
par: Stephen, Shirly, et autres
Publié: (2024)

Synergizing Knowledge Graphs with Large Language Models: A Comprehensive Review and Future Prospects
par: Li, DaiFeng, et autres
Publié: (2024)

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
par: Liu, Lihui, et autres
Publié: (2024)

Knowledge Graph Reasoning Based on Attention GCN
par: Gupta, Meera, et autres
Publié: (2023)

Causality-Inspired Fair Representation Learning for Multimodal Recommendation
par: Chen, Weixin, et autres
Publié: (2023)

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
par: Li, Jin, et autres
Publié: (2026)

Semantic-aware Representation Learning for Homography Estimation
par: Liu, Yuhan, et autres
Publié: (2024)

Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
par: Zhang, Weijia, et autres
Publié: (2024)

LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs
par: Emonet, Vincent, et autres
Publié: (2024)

Exploring the Best Practices of Query Expansion with Large Language Models
par: Zhang, Le, et autres
Publié: (2024)

Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph
par: Zhang, Yuting, et autres
Publié: (2026)

Reason to Retrieve: Enhancing Query Understanding through Decomposition and Interpretation
par: Zhong, Yunfei, et autres
Publié: (2025)

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation
par: Sun, Ke, et autres
Publié: (2025)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
par: Lei, Yongjia, et autres
Publié: (2025)

CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
par: Zheng, Shangfei, et autres
Publié: (2024)

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
par: Zloch, Matthäus, et autres
Publié: (2025)

ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning
par: Zhang, Kai, et autres
Publié: (2025)

Intent Representation Learning with Large Language Model for Recommendation
par: Wang, Yu, et autres
Publié: (2025)

On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations
par: Wang, Carrie, et autres
Publié: (2025)

Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction
par: Qi, Jing, et autres
Publié: (2026)

Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context
par: Sahijwani, Harshita Jagdish, et autres
Publié: (2026)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
par: Li, Qingyao, et autres
Publié: (2024)

IP2: Entity-Guided Interest Probing for Personalized News Recommendation
par: Wu, Youlin, et autres
Publié: (2025)

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
par: Huang, Manzong, et autres
Publié: (2025)

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
par: Cheng, Xinghe, et autres
Publié: (2025)