Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Yuan, Xiaojie"'
Autor:
Zhou, Xinxing, Ye, Jiaqi, Zhao, Shubao, Jin, Ming, Yang, Chengyi, Wen, Yanlong, Yuan, Xiaojie
The exponential growth of multivariate time series data from sensor networks in domains like industrial monitoring and smart cities requires efficient and accurate forecasting models. Current deep learning methods often fail to adequately capture lon
Externí odkaz:
http://arxiv.org/abs/2411.04669
Autor:
Zhou, Xinxing, Ye, Jiaqi, Zhao, Shubao, Jin, Ming, Hou, Zhaoxiang, Yang, Chengyi, Li, Zengxiang, Wen, Yanlong, Yuan, Xiaojie
In the context of global energy strategy, accurate natural gas demand forecasting is crucial for ensuring efficient resource allocation and operational planning. Traditional forecasting methods struggle to cope with the growing complexity and variabi
Externí odkaz:
http://arxiv.org/abs/2409.15794
Graph representation learning (GRL) models have succeeded in many scenarios. Real-world graphs have imbalanced distribution, such as node labels and degrees, which leaves a critical challenge to GRL. Imbalanced inputs can lead to imbalanced outputs.
Externí odkaz:
http://arxiv.org/abs/2409.05339
Heterogeneous graphs have attracted a lot of research interests recently due to the success for representing complex real-world systems. However, existing methods have two pain points in embedding them into low-dimensional spaces: the mixing of struc
Externí odkaz:
http://arxiv.org/abs/2406.10367
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing node representations, which focuses on node-central perspectives and lac
Externí odkaz:
http://arxiv.org/abs/2404.11869
Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users' current check-in trajectories. The recommendation performance of this task is contingent upon a comprehensive understanding of users' persona
Externí odkaz:
http://arxiv.org/abs/2403.12100
Enterprises and organizations are faced with potential threats from insider employees that may lead to serious consequences. Previous studies on insider threat detection (ITD) mainly focus on detecting abnormal users or abnormal time periods (e.g., a
Externí odkaz:
http://arxiv.org/abs/2403.09209
Multimodal aspect-based sentiment analysis (MABSA) aims to extract aspects from text-image pairs and recognize their sentiments. Existing methods make great efforts to align the whole image to corresponding aspects. However, different regions of the
Externí odkaz:
http://arxiv.org/abs/2306.01004
ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improve the effectiveness and efficiency of manual coding, many methods have
Externí odkaz:
http://arxiv.org/abs/2305.18576
Entity Alignment (EA) aims to find the equivalent entities between two Knowledge Graphs (KGs). Existing methods usually encode the triples of entities as embeddings and learn to align the embeddings, which prevents the direct interaction between the
Externí odkaz:
http://arxiv.org/abs/2305.11501