:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gao, Yuan, Wang, Xuelong, Dong, Zhenguo, Zhang, Yong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.11601
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
by: Gao, Yuan, et al.
Published: (2025)

Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
by: Qu, Jintao, et al.
Published: (2025)

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)

CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
by: Wang, Fuying, et al.
Published: (2024)

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
by: Chen, Yile, et al.
Published: (2024)

BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
by: Yuan, Zhongju, et al.
Published: (2025)

TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
by: Wang, Zihao, et al.
Published: (2025)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
by: Wen, Xiaoyu, et al.
Published: (2024)

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
by: Yi, Jinhui, et al.
Published: (2025)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)

FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
by: Gao, Yifei, et al.
Published: (2025)

Temporal Dynamic Embedding for Irregularly Sampled Time Series
by: Kim, Mincheol, et al.
Published: (2025)

MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
by: Duan, Wenchang, et al.
Published: (2026)

CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
by: Ning, Zhiyuan, et al.
Published: (2025)

Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
by: Zhang, Weijia, et al.
Published: (2024)

A Temporally Augmented Graph Attention Network for Affordance Classification
by: Chopra, Ami, et al.
Published: (2026)

FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
by: Tan, Zhizhong, et al.
Published: (2025)

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
by: Zhang, Haoyu, et al.
Published: (2025)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
by: Hu, Ao, et al.
Published: (2024)

Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
by: Zhang, Bowen, et al.
Published: (2026)

Deep Contrastive Graph Learning with Clustering-Oriented Guidance
by: Chen, Mulin, et al.
Published: (2024)

Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
by: Yang, Yuan-Chih, et al.
Published: (2025)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
by: Chen, Xingsheng, et al.
Published: (2026)

Segment-Aligned Policy Optimization for Multi-Modal Reasoning
by: Gao, Lei, et al.
Published: (2026)

A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection
by: Ye, Miao, et al.
Published: (2026)

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
by: Zhang, Fan, et al.
Published: (2026)

ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
by: Chen, Shulun, et al.
Published: (2025)

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
by: Deng, Gangda, et al.
Published: (2024)

Puppet-CNN: Continuous Parameter Dynamics for Input-Adaptive Convolutional Networks
by: Xing, Yucheng, et al.
Published: (2024)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)

AI Flow at the Network Edge
by: Shao, Jiawei, et al.
Published: (2024)

Physics in Next-token Prediction
by: An, Hongjun, et al.
Published: (2024)