Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
Fuente:
arXiv
Guardado en:
| Autores principales: | Gan, Yanglei, He, Peng, Cai, Yuxiang, Lin, Run, Zhou, Guanyu, Liu, Qiao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
por: Zhou, Guanyu, et al.
Publicado: (2026)
por: Zhou, Guanyu, et al.
Publicado: (2026)
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
por: Liu, Yuxiang, et al.
Publicado: (2026)
por: Liu, Yuxiang, et al.
Publicado: (2026)
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
por: Luo, Da, et al.
Publicado: (2023)
por: Luo, Da, et al.
Publicado: (2023)
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
por: He, Peng, et al.
Publicado: (2025)
por: He, Peng, et al.
Publicado: (2025)
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
por: He, Peng, et al.
Publicado: (2026)
por: He, Peng, et al.
Publicado: (2026)
OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation
por: Lin, Dongying, et al.
Publicado: (2026)
por: Lin, Dongying, et al.
Publicado: (2026)
DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
por: Long, Shu, et al.
Publicado: (2026)
por: Long, Shu, et al.
Publicado: (2026)
DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process
por: Li, Changlin, et al.
Publicado: (2024)
por: Li, Changlin, et al.
Publicado: (2024)
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
por: He, Yongquan, et al.
Publicado: (2024)
por: He, Yongquan, et al.
Publicado: (2024)
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation
por: Chen, Kai, et al.
Publicado: (2024)
por: Chen, Kai, et al.
Publicado: (2024)
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
por: Chen, Wei, et al.
Publicado: (2024)
por: Chen, Wei, et al.
Publicado: (2024)
Enhancing Temporal Awareness in LLMs for Temporal Point Processes
por: Chen, Lili, et al.
Publicado: (2025)
por: Chen, Lili, et al.
Publicado: (2025)
Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities
por: Zhao, Ze, et al.
Publicado: (2026)
por: Zhao, Ze, et al.
Publicado: (2026)
Strikingness-Aware Evaluation for Temporal Knowledge Graph Reasoning
por: Huang, Rikui, et al.
Publicado: (2026)
por: Huang, Rikui, et al.
Publicado: (2026)
Diversified and Adaptive Negative Sampling on Knowledge Graphs
por: Liu, Ran, et al.
Publicado: (2024)
por: Liu, Ran, et al.
Publicado: (2024)
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models
por: Bernardi, Alberto, et al.
Publicado: (2024)
por: Bernardi, Alberto, et al.
Publicado: (2024)
MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection
por: Jiang, Peiyuan, et al.
Publicado: (2026)
por: Jiang, Peiyuan, et al.
Publicado: (2026)
DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
por: Li, Haoning, et al.
Publicado: (2025)
por: Li, Haoning, et al.
Publicado: (2025)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
por: Qiao, Qiao, et al.
Publicado: (2023)
por: Qiao, Qiao, et al.
Publicado: (2023)
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
por: He, Jiashu, et al.
Publicado: (2024)
por: He, Jiashu, et al.
Publicado: (2024)
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
por: Cai, Li, et al.
Publicado: (2024)
por: Cai, Li, et al.
Publicado: (2024)
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
por: Liu, Meng, et al.
Publicado: (2023)
por: Liu, Meng, et al.
Publicado: (2023)
Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling
por: Liu, Yinan, et al.
Publicado: (2026)
por: Liu, Yinan, et al.
Publicado: (2026)
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
por: Cai, Li, et al.
Publicado: (2024)
por: Cai, Li, et al.
Publicado: (2024)
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
por: Ding, Yanna, et al.
Publicado: (2024)
por: Ding, Yanna, et al.
Publicado: (2024)
Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables
por: Qi, Jingxuan, et al.
Publicado: (2026)
por: Qi, Jingxuan, et al.
Publicado: (2026)
Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models
por: Cheng, Haoxiang, et al.
Publicado: (2026)
por: Cheng, Haoxiang, et al.
Publicado: (2026)
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
por: Niu, Guanglin, et al.
Publicado: (2025)
por: Niu, Guanglin, et al.
Publicado: (2025)
Extrapolation Merging: Keep Improving With Extrapolation and Merging
por: Lin, Yiguan, et al.
Publicado: (2025)
por: Lin, Yiguan, et al.
Publicado: (2025)
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
por: Yu, He, et al.
Publicado: (2025)
por: Yu, He, et al.
Publicado: (2025)
Negative Sampling in Knowledge Graph Representation Learning: A Review
por: Madushanka, Tiroshan, et al.
Publicado: (2024)
por: Madushanka, Tiroshan, et al.
Publicado: (2024)
A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs
por: Betz, Patrick, et al.
Publicado: (2024)
por: Betz, Patrick, et al.
Publicado: (2024)
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method
por: Lin, Mingbao, et al.
Publicado: (2024)
por: Lin, Mingbao, et al.
Publicado: (2024)
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
por: Dong, Hao, et al.
Publicado: (2025)
por: Dong, Hao, et al.
Publicado: (2025)
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
por: Dong, Hao, et al.
Publicado: (2023)
por: Dong, Hao, et al.
Publicado: (2023)
AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation
por: Lin, Zhihang, et al.
Publicado: (2024)
por: Lin, Zhihang, et al.
Publicado: (2024)
Temporal Generalization Estimation in Evolving Graphs
por: Lu, Bin, et al.
Publicado: (2024)
por: Lu, Bin, et al.
Publicado: (2024)
Temporal-Aware Heterogeneous Graph Reasoning with Multi-View Fusion for Temporal Question Answering
por: Wen, Wuzhenghong, et al.
Publicado: (2026)
por: Wen, Wuzhenghong, et al.
Publicado: (2026)
TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning
por: Jiang, Zihao, et al.
Publicado: (2026)
por: Jiang, Zihao, et al.
Publicado: (2026)
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing
por: Li, Siyuan, et al.
Publicado: (2025)
por: Li, Siyuan, et al.
Publicado: (2025)
Ejemplares similares
-
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
por: Zhou, Guanyu, et al.
Publicado: (2026) -
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
por: Liu, Yuxiang, et al.
Publicado: (2026) -
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
por: Luo, Da, et al.
Publicado: (2023) -
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
por: He, Peng, et al.
Publicado: (2025) -
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
por: He, Peng, et al.
Publicado: (2026)