CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Yang, Zhou, Chuan, Zhang, Peng, Cao, Yanan, Liu, Yongchao, Li, Zhao, Chen, Hongyang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings
por: Efthymiou, Athanasios, et al.
Publicado: (2026)
por: Efthymiou, Athanasios, et al.
Publicado: (2026)
HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
por: Jiang, Xinke, et al.
Publicado: (2023)
por: Jiang, Xinke, et al.
Publicado: (2023)
Joint Embedding Learning of Educational Knowledge Graphs
por: Yao, Siyu, et al.
Publicado: (2019)
por: Yao, Siyu, et al.
Publicado: (2019)
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
por: Liu, Yichen, et al.
Publicado: (2022)
por: Liu, Yichen, et al.
Publicado: (2022)
Combinatorial Optimization with Automated Graph Neural Networks
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Decision-focused Graph Neural Networks for Combinatorial Optimization
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Structured Query Construction via Knowledge Graph Embedding
por: Wang, Ruijie, et al.
Publicado: (2019)
por: Wang, Ruijie, et al.
Publicado: (2019)
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework
por: Liu, Lingyuan, et al.
Publicado: (2025)
por: Liu, Lingyuan, et al.
Publicado: (2025)
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs
por: Liu, Ben, et al.
Publicado: (2025)
por: Liu, Ben, et al.
Publicado: (2025)
Counterfactual Reasoning with Knowledge Graph Embeddings
por: Zellinger, Lena, et al.
Publicado: (2024)
por: Zellinger, Lena, et al.
Publicado: (2024)
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
por: Liu, Ben, et al.
Publicado: (2024)
por: Liu, Ben, et al.
Publicado: (2024)
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
por: Chen, Kedi, et al.
Publicado: (2024)
por: Chen, Kedi, et al.
Publicado: (2024)
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
por: Li, Jiawei, et al.
Publicado: (2024)
por: Li, Jiawei, et al.
Publicado: (2024)
Open Knowledge Base Canonicalization with Multi-task Learning
por: Liu, Bingchen, et al.
Publicado: (2024)
por: Liu, Bingchen, et al.
Publicado: (2024)
Knowledge Graph Embeddings with Representing Relations as Annular Sectors
por: Zhu, Huiling, et al.
Publicado: (2025)
por: Zhu, Huiling, et al.
Publicado: (2025)
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
por: Chen, Jianlv, et al.
Publicado: (2024)
por: Chen, Jianlv, et al.
Publicado: (2024)
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
por: Yang, Linyao, et al.
Publicado: (2024)
por: Yang, Linyao, et al.
Publicado: (2024)
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
por: Sawczyn, Albert, et al.
Publicado: (2024)
por: Sawczyn, Albert, et al.
Publicado: (2024)
Distributed Representations of Entities in Open-World Knowledge Graphs
por: Guo, Lingbing, et al.
Publicado: (2020)
por: Guo, Lingbing, et al.
Publicado: (2020)
Croppable Knowledge Graph Embedding
por: Zhu, Yushan, et al.
Publicado: (2024)
por: Zhu, Yushan, et al.
Publicado: (2024)
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
por: Peng, Miao, et al.
Publicado: (2024)
por: Peng, Miao, et al.
Publicado: (2024)
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
por: Cai, Borui, et al.
Publicado: (2023)
por: Cai, Borui, et al.
Publicado: (2023)
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
por: Zhao, Xinjian, et al.
Publicado: (2024)
por: Zhao, Xinjian, et al.
Publicado: (2024)
Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
por: Yang, Linyao, et al.
Publicado: (2023)
por: Yang, Linyao, et al.
Publicado: (2023)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
por: Xi, Zhiheng, et al.
Publicado: (2024)
por: Xi, Zhiheng, et al.
Publicado: (2024)
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
por: Zhao, Zihao, et al.
Publicado: (2024)
por: Zhao, Zihao, et al.
Publicado: (2024)
Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
por: Gong, Zhaoyan, et al.
Publicado: (2026)
por: Gong, Zhaoyan, et al.
Publicado: (2026)
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering
por: Peng, Boci, et al.
Publicado: (2024)
por: Peng, Boci, et al.
Publicado: (2024)
S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
por: Ma, Tengfei, et al.
Publicado: (2024)
por: Ma, Tengfei, et al.
Publicado: (2024)
Learning Granularity Representation for Temporal Knowledge Graph Completion
por: Zhang, Jinchuan, et al.
Publicado: (2024)
por: Zhang, Jinchuan, et al.
Publicado: (2024)
Curriculum Learning with Quality-Driven Data Selection
por: Wu, Biao, et al.
Publicado: (2024)
por: Wu, Biao, et al.
Publicado: (2024)
A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
por: Kabal, Othmane, et al.
Publicado: (2026)
por: Kabal, Othmane, et al.
Publicado: (2026)
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
por: Liu, Xiaoze, et al.
Publicado: (2024)
por: Liu, Xiaoze, et al.
Publicado: (2024)
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
por: Liu, Yu, et al.
Publicado: (2025)
por: Liu, Yu, et al.
Publicado: (2025)
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
por: Peng, Jie, et al.
Publicado: (2025)
por: Peng, Jie, et al.
Publicado: (2025)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
por: Zhou, Chenxi, et al.
Publicado: (2025)
por: Zhou, Chenxi, et al.
Publicado: (2025)
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
por: Li, Xiaopeng, et al.
Publicado: (2024)
por: Li, Xiaopeng, et al.
Publicado: (2024)
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
por: Ye, Hongbin, et al.
Publicado: (2023)
por: Ye, Hongbin, et al.
Publicado: (2023)
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
por: Wang, Fali, et al.
Publicado: (2024)
por: Wang, Fali, et al.
Publicado: (2024)
Progressive Knowledge Graph Completion
por: Li, Jiayi, et al.
Publicado: (2024)
por: Li, Jiayi, et al.
Publicado: (2024)
Ejemplares similares
-
VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings
por: Efthymiou, Athanasios, et al.
Publicado: (2026) -
HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
por: Jiang, Xinke, et al.
Publicado: (2023) -
Joint Embedding Learning of Educational Knowledge Graphs
por: Yao, Siyu, et al.
Publicado: (2019) -
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
por: Liu, Yichen, et al.
Publicado: (2022) -
Combinatorial Optimization with Automated Graph Neural Networks
por: Liu, Yang, et al.
Publicado: (2024)