Saved in:
| Main Authors: | Qin, Zhenkai, Wei, Baozhong, Gao, Caifeng, Ni, Jianyuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.05421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2025)
by: Qin, Zhenkai, et al.
Published: (2025)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024)
by: Stitsyuk, Artyom, et al.
Published: (2024)
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
by: Seo, Hyunwoo, et al.
Published: (2025)
by: Seo, Hyunwoo, et al.
Published: (2025)
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
by: Ni, Ronghao, et al.
Published: (2023)
by: Ni, Ronghao, et al.
Published: (2023)
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
by: Kakde, Shubham Tanaji, et al.
Published: (2024)
by: Kakde, Shubham Tanaji, et al.
Published: (2024)
A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
by: Pang, Yining, et al.
Published: (2024)
by: Pang, Yining, et al.
Published: (2024)
Virtual Nodes Improve Long-term Traffic Prediction
by: Cao, Xiaoyang, et al.
Published: (2025)
by: Cao, Xiaoyang, et al.
Published: (2025)
CORE: Contrastive Masked Feature Reconstruction on Graphs
by: Bo, Jianyuan, et al.
Published: (2025)
by: Bo, Jianyuan, et al.
Published: (2025)
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
by: Huang, Songtao, et al.
Published: (2025)
by: Huang, Songtao, et al.
Published: (2025)
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
by: Wu, Yi, et al.
Published: (2024)
by: Wu, Yi, et al.
Published: (2024)
Long-term Fairness in Ride-Hailing Platform
by: Kang, Yufan, et al.
Published: (2024)
by: Kang, Yufan, et al.
Published: (2024)
Quantizing Text-attributed Graphs for Semantic-Structural Integration
by: Bo, Jianyuan, et al.
Published: (2025)
by: Bo, Jianyuan, et al.
Published: (2025)
Task-Core Memory Management and Consolidation for Long-term Continual Learning
by: Huai, Tianyu, et al.
Published: (2025)
by: Huai, Tianyu, et al.
Published: (2025)
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
by: Zhu, Wang, et al.
Published: (2024)
by: Zhu, Wang, et al.
Published: (2024)
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)
by: Yu, Xi, et al.
Published: (2025)
Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
by: Long, Baichao, et al.
Published: (2024)
by: Long, Baichao, et al.
Published: (2024)
Adaptive Normalization Mamba with Multi Scale Trend Decomposition and Patch MoE Encoding
by: Jeon, MinCheol
Published: (2025)
by: Jeon, MinCheol
Published: (2025)
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling
by: Zhang, Dehao, et al.
Published: (2025)
by: Zhang, Dehao, et al.
Published: (2025)
Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
by: Sainsbury, Chris, et al.
Published: (2026)
by: Sainsbury, Chris, et al.
Published: (2026)
Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
by: Ni, Zhenliang, et al.
Published: (2025)
by: Ni, Zhenliang, et al.
Published: (2025)
Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
by: Qiu, Zijie, et al.
Published: (2025)
by: Qiu, Zijie, et al.
Published: (2025)
PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
by: Jang, Sejeong, et al.
Published: (2025)
by: Jang, Sejeong, et al.
Published: (2025)
Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
by: Chaki, Sayan Kumar
Published: (2026)
by: Chaki, Sayan Kumar
Published: (2026)
S$^2$Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
by: He, Bowei, et al.
Published: (2025)
by: He, Bowei, et al.
Published: (2025)
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
by: Wu, Han, et al.
Published: (2022)
by: Wu, Han, et al.
Published: (2022)
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
by: Wang, Yingrong, et al.
Published: (2024)
by: Wang, Yingrong, et al.
Published: (2024)
Block-Biased Mamba for Long-Range Sequence Processing
by: Yu, Annan, et al.
Published: (2025)
by: Yu, Annan, et al.
Published: (2025)
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
by: Guo, Ke, et al.
Published: (2024)
by: Guo, Ke, et al.
Published: (2024)
Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging
by: Liu, Guisong, et al.
Published: (2026)
by: Liu, Guisong, et al.
Published: (2026)
DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
by: Dong, Huanshuo, et al.
Published: (2026)
by: Dong, Huanshuo, et al.
Published: (2026)
Self-Supervised Contrastive Learning for Long-term Forecasting
by: Park, Junwoo, et al.
Published: (2024)
by: Park, Junwoo, et al.
Published: (2024)
Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
by: Yen, Wei-hsiang, et al.
Published: (2025)
by: Yen, Wei-hsiang, et al.
Published: (2025)
Predicting Long Term Sequential Policy Value Using Softer Surrogates
by: Nam, Hyunji, et al.
Published: (2024)
by: Nam, Hyunji, et al.
Published: (2024)
MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)
by: Du, Junliang, et al.
Published: (2024)
Similar Items
-
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2025) -
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025) -
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024) -
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
by: Seo, Hyunwoo, et al.
Published: (2025) -
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
by: Ni, Ronghao, et al.
Published: (2023)