GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Guanyu, Liu, Yao, Gan, Yanglei, Cai, Yuxiang, He, Peng, Lin, Run, Liu, Yuxiang, Liu, Qiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
by: Gan, Yanglei, et al.
Published: (2026)
by: Gan, Yanglei, et al.
Published: (2026)
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
by: Liu, Yuxiang, et al.
Published: (2026)
by: Liu, Yuxiang, et al.
Published: (2026)
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)
by: He, Peng, et al.
Published: (2026)
DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process
by: Li, Changlin, et al.
Published: (2024)
by: Li, Changlin, et al.
Published: (2024)
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
by: Luo, Da, et al.
Published: (2023)
by: Luo, Da, et al.
Published: (2023)
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
by: He, Peng, et al.
Published: (2025)
by: He, Peng, et al.
Published: (2025)
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
by: Liu, Yao
Published: (2025)
by: Liu, Yao
Published: (2025)
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
by: Hu, Junfeng, et al.
Published: (2023)
by: Hu, Junfeng, et al.
Published: (2023)
Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
by: Zhou, Wenbin, et al.
Published: (2026)
by: Zhou, Wenbin, et al.
Published: (2026)
Minimax Rate-Optimal Algorithms for High-Dimensional Stochastic Linear Bandits
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
by: Zhou, Feng, et al.
Published: (2025)
by: Zhou, Feng, et al.
Published: (2025)
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)
by: Thil, Lucas, et al.
Published: (2025)
Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network
by: Moallemy-Oureh, Alice, et al.
Published: (2022)
by: Moallemy-Oureh, Alice, et al.
Published: (2022)
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
by: Liu, Yuxuan, et al.
Published: (2026)
by: Liu, Yuxuan, et al.
Published: (2026)
Riemannian Liquid Spatio-Temporal Graph Network
by: Lu, Liangsi, et al.
Published: (2026)
by: Lu, Liangsi, et al.
Published: (2026)
Double-Diffusion: ODE-Prior Accelerated Diffusion Models for Spatio-Temporal Graph Forecasting
by: Dong, Hanlin, et al.
Published: (2025)
by: Dong, Hanlin, et al.
Published: (2025)
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
by: Zhou, Jianxiang, et al.
Published: (2024)
by: Zhou, Jianxiang, et al.
Published: (2024)
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
by: Zhang, Zhaoyang, et al.
Published: (2024)
by: Zhang, Zhaoyang, et al.
Published: (2024)
Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation
by: Martinon, Grégoire, et al.
Published: (2026)
by: Martinon, Grégoire, et al.
Published: (2026)
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)
by: Wen, Haomin, et al.
Published: (2023)
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
by: Liu, Meng, et al.
Published: (2023)
by: Liu, Meng, et al.
Published: (2023)
Towards Graph Foundation Models: A Transferability Perspective
by: Wang, Yuxiang, et al.
Published: (2025)
by: Wang, Yuxiang, et al.
Published: (2025)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
by: Liu, Bingqing
Published: (2024)
by: Liu, Bingqing
Published: (2024)
Byte-token Enhanced Language Models for Temporal Point Processes Analysis
by: Kong, Quyu, et al.
Published: (2025)
by: Kong, Quyu, et al.
Published: (2025)
Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)
by: Hu, Junfeng, et al.
Published: (2024)
Temporal Generalization Estimation in Evolving Graphs
by: Lu, Bin, et al.
Published: (2024)
by: Lu, Bin, et al.
Published: (2024)
Spatio-Temporal Graph Deep Learning with Stochastic Differential Equations for Uncovering Alzheimer's Disease Progression
by: Zhou, Houliang, et al.
Published: (2025)
by: Zhou, Houliang, et al.
Published: (2025)
Marked Temporal Bayesian Flow Point Processes
by: Chen, Hui, et al.
Published: (2024)
by: Chen, Hui, et al.
Published: (2024)
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
by: Rong, Yi, et al.
Published: (2024)
by: Rong, Yi, et al.
Published: (2024)
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
by: Liu, Yilin, et al.
Published: (2026)
by: Liu, Yilin, et al.
Published: (2026)
Add and Thin: Diffusion for Temporal Point Processes
by: Lüdke, David, et al.
Published: (2023)
by: Lüdke, David, et al.
Published: (2023)
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)
by: Zhang, Yuxiang, et al.
Published: (2026)
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
by: Mukherjee, Amartya, et al.
Published: (2025)
by: Mukherjee, Amartya, et al.
Published: (2025)
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
by: Kharyal, Chaitanya, et al.
Published: (2024)
by: Kharyal, Chaitanya, et al.
Published: (2024)
An Empirical Study: Extensive Deep Temporal Point Process
by: Lin, Haitao, et al.
Published: (2021)
by: Lin, Haitao, et al.
Published: (2021)
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
by: Cheng, Ming, et al.
Published: (2024)
by: Cheng, Ming, et al.
Published: (2024)
ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)
by: Liu, Zesheng, et al.
Published: (2025)
MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection
by: Jiang, Peiyuan, et al.
Published: (2026)
by: Jiang, Peiyuan, et al.
Published: (2026)
Similar Items
-
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
by: Gan, Yanglei, et al.
Published: (2026) -
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
by: Liu, Yuxiang, et al.
Published: (2026) -
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026) -
DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process
by: Li, Changlin, et al.
Published: (2024) -
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
by: Luo, Da, et al.
Published: (2023)