Double-Diffusion: ODE-Prior Accelerated Diffusion Models for Spatio-Temporal Graph Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Hanlin, Prabowo, Arian, Xue, Hao, Shuang, Ao, Zhou, Tianyi, Salim, Flora D. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
by: Yin, Du, et al.
Published: (2024)
by: Yin, Du, et al.
Published: (2024)
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
by: Yin, Du, et al.
Published: (2024)
by: Yin, Du, et al.
Published: (2024)
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance
by: Prabowo, Arian, et al.
Published: (2025)
by: Prabowo, Arian, et al.
Published: (2025)
Embedding spatial context in urban traffic forecasting with contrastive pre-training
by: Low, Matthew, et al.
Published: (2025)
by: Low, Matthew, et al.
Published: (2025)
TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
by: Wongso, Wilson, et al.
Published: (2026)
by: Wongso, Wilson, et al.
Published: (2026)
From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks
by: Yin, Du, et al.
Published: (2026)
by: Yin, Du, et al.
Published: (2026)
ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
by: Chen, Shulun, et al.
Published: (2025)
by: Chen, Shulun, et al.
Published: (2025)
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting
by: Abushaqra, Futoon M., et al.
Published: (2024)
by: Abushaqra, Futoon M., et al.
Published: (2024)
STC-ViT: Spatio Temporal Continuous Vision Transformer for Medium-range Global Weather Forecasting
by: Saleem, Hira, et al.
Published: (2024)
by: Saleem, Hira, et al.
Published: (2024)
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
by: Prabowo, Arian, et al.
Published: (2024)
by: Prabowo, Arian, et al.
Published: (2024)
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings
by: Lin, Xiachong, et al.
Published: (2024)
by: Lin, Xiachong, et al.
Published: (2024)
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series
by: Abushaqra, Futoon M., et al.
Published: (2022)
by: Abushaqra, Futoon M., et al.
Published: (2022)
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)
by: Wen, Haomin, et al.
Published: (2023)
STOAT: Spatial-Temporal Probabilistic Causal Inference Network
by: Yang, Yang, et al.
Published: (2025)
by: Yang, Yang, et al.
Published: (2025)
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
by: Li, Lihuan, et al.
Published: (2025)
by: Li, Lihuan, et al.
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)
Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)
by: Li, Peibo, et al.
Published: (2024)
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
by: Dai, Ben-Ao, et al.
Published: (2025)
by: Dai, Ben-Ao, et al.
Published: (2025)
Temporal Graph MLP Mixer for Spatio-Temporal Forecasting
by: Bilal, Muhammad, et al.
Published: (2025)
by: Bilal, Muhammad, et al.
Published: (2025)
FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
by: Zhao, Sichen, et al.
Published: (2025)
by: Zhao, Sichen, et al.
Published: (2025)
Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks
by: Wongso, Wilson, et al.
Published: (2025)
by: Wongso, Wilson, et al.
Published: (2025)
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
by: Zhou, Guanyu, et al.
Published: (2026)
by: Zhou, Guanyu, et al.
Published: (2026)
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)
by: Shao, Wei, et al.
Published: (2024)
Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025)
by: Han, Jiaqi, et al.
Published: (2025)
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2025)
by: Liang, Yuxuan, et al.
Published: (2025)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
by: Lin, Lequan, et al.
Published: (2024)
by: Lin, Lequan, et al.
Published: (2024)
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)
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding
by: Yang, Ruiyi, et al.
Published: (2024)
by: Yang, Ruiyi, et al.
Published: (2024)
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)
by: Li, Peibo, et al.
Published: (2025)
On Approaches to Building Surrogate ODE Models for Diffusion Bridges
by: Khilchuk, Maria, et al.
Published: (2025)
by: Khilchuk, Maria, et al.
Published: (2025)
NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer
by: Lyu, Tengfei, et al.
Published: (2024)
by: Lyu, Tengfei, et al.
Published: (2024)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)
by: Zhang, Weijia, et al.
Published: (2023)
DeepLévy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series
by: Yang, Yang, et al.
Published: (2026)
by: Yang, Yang, et al.
Published: (2026)
Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
by: Mostafa, Abeer, et al.
Published: (2026)
by: Mostafa, Abeer, et al.
Published: (2026)
STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
by: Zhou, Nan, et al.
Published: (2025)
by: Zhou, Nan, et al.
Published: (2025)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
WorkR: Occupation Inference for Intelligent Task Assistance
by: Khaokaew, Yonchanok, et al.
Published: (2024)
by: Khaokaew, Yonchanok, et al.
Published: (2024)
Similar Items
-
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
by: Yin, Du, et al.
Published: (2024) -
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
by: Yin, Du, et al.
Published: (2024) -
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance
by: Prabowo, Arian, et al.
Published: (2025) -
Embedding spatial context in urban traffic forecasting with contrastive pre-training
by: Low, Matthew, et al.
Published: (2025) -
TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
by: Wongso, Wilson, et al.
Published: (2026)