Cover Image

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, En, Rong, Can, Ding, Jingtao, Li, Yong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inferring Network Evolutionary History via Structure-State Coupled Learning
by: Xu, En, et al.
Published: (2026)

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
by: Liu, Chang, et al.
Published: (2024)

Sample-Efficient Diffusion-based Control of Complex Physics Systems
by: Chen, Hongyi, et al.
Published: (2025)

Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
by: Chen, Hongyi, et al.
Published: (2025)

A Survey of Physics-Informed AI for Complex Urban Systems
by: Xu, En, et al.
Published: (2025)

Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)

Diffusion Transformers as Open-World Spatiotemporal Foundation Models
by: Yuan, Yuan, et al.
Published: (2024)

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
by: Long, Qingyue, et al.
Published: (2025)

ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
by: Liu, Chang, et al.
Published: (2025)

Social Physics Informed Diffusion Model for Crowd Simulation
by: Chen, Hongyi, et al.
Published: (2024)

NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
by: Wang, Guoan, et al.
Published: (2026)

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
by: Feng, Wanjin, et al.
Published: (2025)

DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
by: Long, Qingyue, et al.
Published: (2025)

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation
by: Meng, Fanjin, et al.
Published: (2026)

Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs
by: Shao, Chenyang, et al.
Published: (2024)

Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
by: Liu, Chang, et al.
Published: (2025)

Advancing network resilience theories with symbolized reinforcement learning
by: Zheng, Yu, et al.
Published: (2025)

Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts
by: Han, Chonghua, et al.
Published: (2025)

From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
by: Sun, Ziyu, et al.
Published: (2024)

FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents
by: Yang, Qinglong, et al.
Published: (2025)

Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective
by: Yang, Yudong, et al.
Published: (2024)

A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
by: Ding, Jingtao, et al.
Published: (2024)

Opus: A Prompt Intention Framework for Complex Workflow Generation
by: Fagnoni, Théo, et al.
Published: (2025)

A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
by: Yu, Xiangnan, et al.
Published: (2024)

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction
by: Jia, Hao, et al.
Published: (2025)

RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
by: Li, Xiaojie, et al.
Published: (2024)

FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation
by: Bai, Yushan, et al.
Published: (2026)

PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
by: Chen, Hongyi, et al.
Published: (2025)

OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
by: Zeng, Jinwei, et al.
Published: (2025)

Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)

A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation
by: Yang, Qikai, et al.
Published: (2024)

Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning
by: Su, Hongyuan, et al.
Published: (2024)

AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent
by: Hui, Sun, et al.
Published: (2026)

Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)

An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
by: Rong, Can, et al.
Published: (2023)

TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data
by: Lu, Rong
Published: (2026)

Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning
by: Lyu, Tianwen, et al.
Published: (2025)

Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
by: Zhao, Sen, et al.
Published: (2026)