DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Cao, Yukun, Wang, Lisheng, Huang, Luobin |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
par: Peng, Miao, et autres
Publié: (2024)
par: Peng, Miao, et autres
Publié: (2024)
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
par: Hu, Jingyu, et autres
Publié: (2025)
par: Hu, Jingyu, et autres
Publié: (2025)
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
par: Dang, Tien, et autres
Publié: (2025)
par: Dang, Tien, et autres
Publié: (2025)
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network
par: Guo, Minghao, et autres
Publié: (2025)
par: Guo, Minghao, et autres
Publié: (2025)
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
par: Ma, Ying, et autres
Publié: (2024)
par: Ma, Ying, et autres
Publié: (2024)
Learning Granularity Representation for Temporal Knowledge Graph Completion
par: Zhang, Jinchuan, et autres
Publié: (2024)
par: Zhang, Jinchuan, et autres
Publié: (2024)
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
par: Hu, Wenbin, et autres
Publié: (2024)
par: Hu, Wenbin, et autres
Publié: (2024)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
par: Du, Junliang, et autres
Publié: (2024)
par: Du, Junliang, et autres
Publié: (2024)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
par: Liu, Haochen, et autres
Publié: (2024)
par: Liu, Haochen, et autres
Publié: (2024)
Are Large Language Models Good Temporal Graph Learners?
par: Huang, Shenyang, et autres
Publié: (2025)
par: Huang, Shenyang, et autres
Publié: (2025)
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
par: Jiang, Pengcheng, et autres
Publié: (2024)
par: Jiang, Pengcheng, et autres
Publié: (2024)
Counterfactual Reasoning with Knowledge Graph Embeddings
par: Zellinger, Lena, et autres
Publié: (2024)
par: Zellinger, Lena, et autres
Publié: (2024)
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
par: Xypolopoulos, Christos, et autres
Publié: (2024)
par: Xypolopoulos, Christos, et autres
Publié: (2024)
Graph-based Confidence Calibration for Large Language Models
par: Li, Yukun, et autres
Publié: (2024)
par: Li, Yukun, et autres
Publié: (2024)
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
par: Ding, Zifeng, et autres
Publié: (2023)
par: Ding, Zifeng, et autres
Publié: (2023)
Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning
par: Song, Dezhao, et autres
Publié: (2026)
par: Song, Dezhao, et autres
Publié: (2026)
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data
par: Wu, Xue, et autres
Publié: (2024)
par: Wu, Xue, et autres
Publié: (2024)
CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
par: Liu, Yuanxiang, et autres
Publié: (2026)
par: Liu, Yuanxiang, et autres
Publié: (2026)
Temporal Knowledge Graph Question Answering: A Survey
par: Su, Miao, et autres
Publié: (2024)
par: Su, Miao, et autres
Publié: (2024)
LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models
par: Aman, Shaik
Publié: (2026)
par: Aman, Shaik
Publié: (2026)
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
par: Zhu, Xi, et autres
Publié: (2025)
par: Zhu, Xi, et autres
Publié: (2025)
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
par: Ding, Zifeng, et autres
Publié: (2025)
par: Ding, Zifeng, et autres
Publié: (2025)
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
par: Liao, Ruotong, et autres
Publié: (2023)
par: Liao, Ruotong, et autres
Publié: (2023)
Encoder-Free Knowledge-Graph Reasoning with LLMs via Hyperdimensional Path Retrieval
par: Liu, Yezi, et autres
Publié: (2025)
par: Liu, Yezi, et autres
Publié: (2025)
Logic Programming on Knowledge Graph Networks And its Application in Medical Domain
par: Wang, Chuanqing, et autres
Publié: (2026)
par: Wang, Chuanqing, et autres
Publié: (2026)
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
par: Chen, Hanzhu, et autres
Publié: (2024)
par: Chen, Hanzhu, et autres
Publié: (2024)
Aligning Multiple Knowledge Graphs in a Single Pass
par: Yang, Yaming, et autres
Publié: (2024)
par: Yang, Yaming, et autres
Publié: (2024)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
par: Liu, Haochen, et autres
Publié: (2025)
par: Liu, Haochen, et autres
Publié: (2025)
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
par: Qiao, Qiao, et autres
Publié: (2024)
par: Qiao, Qiao, et autres
Publié: (2024)
Joint Embedding Learning of Educational Knowledge Graphs
par: Yao, Siyu, et autres
Publié: (2019)
par: Yao, Siyu, et autres
Publié: (2019)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
par: Chen, Zhikai, et autres
Publié: (2023)
par: Chen, Zhikai, et autres
Publié: (2023)
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
par: Ai, Wei, et autres
Publié: (2024)
par: Ai, Wei, et autres
Publié: (2024)
ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation
par: Han, Dezheng, et autres
Publié: (2025)
par: Han, Dezheng, et autres
Publié: (2025)
Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
par: Li, Linyu, et autres
Publié: (2025)
par: Li, Linyu, et autres
Publié: (2025)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
par: Jin, Bowen, et autres
Publié: (2024)
par: Jin, Bowen, et autres
Publié: (2024)
Knowledge Graph Construction in Power Distribution Networks
par: Li, Xiang, et autres
Publié: (2023)
par: Li, Xiang, et autres
Publié: (2023)
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
par: Wen, Yilin, et autres
Publié: (2023)
par: Wen, Yilin, et autres
Publié: (2023)
Power Transformer Fault Prediction Based on Knowledge Graphs
par: Wang, Chao, et autres
Publié: (2024)
par: Wang, Chao, et autres
Publié: (2024)
Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning
par: Wang, Libo
Publié: (2025)
par: Wang, Libo
Publié: (2025)
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
par: Li, Mufei, et autres
Publié: (2024)
par: Li, Mufei, et autres
Publié: (2024)
Documents similaires
-
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
par: Peng, Miao, et autres
Publié: (2024) -
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
par: Hu, Jingyu, et autres
Publié: (2025) -
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
par: Dang, Tien, et autres
Publié: (2025) -
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network
par: Guo, Minghao, et autres
Publié: (2025) -
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
par: Ma, Ying, et autres
Publié: (2024)