Papers
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
Yiming Wang, Hao Peng, Senzhang Wang et al.
Explainable Graph Representation Learning via Graph Pattern Analysis
Xudong Wang, Ziheng Sun, Chris Ding et al.
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
Xinyao Wang, Zhizhi Yu, Dongxiao He et al.
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients
Xiaoding Wang, Bin Ye, Li Xu et al.
Higher-order Logical Knowledge Representation Learning
Suixue Wang, Weiliang Huo, Shilin Zhang et al.
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting
Shunnan Wang, Min Gao, Zongwei Wang et al.
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking
Lingxiao Wang, Lei Shi, Feifei Kou et al.
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
Jinyan Wang, Liu Yang, Yuecen Wei et al.
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
Hao Wang, Jindong Han, Wei Fan et al.
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
Haichen Wang, Liu Yang, Xinyuan Zhang et al.
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
Chengxin Wang, Gary Tan, Swagato Barman Roy et al.
Non-collective Calibrating Strategy for Time Series Forecasting
Bin Wang, Yongqi Han, Minbo Ma et al.
SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines
Meng Wan, Rongqiang Cao, Yanghao Li et al.
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios
Xigang Sun, Jiahui Jin, Hancheng Wang et al.
Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation
Li Sun, Suyang Zhou, Bowen Fang et al.
Towards Recognizing Spatial-temporal Collaboration of EEG Phase Brain Networks for Emotion Understanding
Jiangfeng Sun, Kaiwen Xue, Qika Lin et al.
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
Xinyu Su, Feng Liu, Yanchuan Chang et al.
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
Yudan Song, Yuecen Wei, Yuhang Lu et al.
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning
Lingyun Song, Haodong Li, Siyu Chen et al.
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
Zhi Sheng, Daisy Yuan, Jingtao Ding et al.
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
Feifei Qian, Lu Bai, Lixin Cui et al.
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Chaoxi Niu, Hezhe Qiao, Changlu Chen et al.
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
Zhiyuan Ning, Pengfei Wang, Ziyue Qiao et al.