Papers
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
Yudong Zhang, Zhaoyang Sun, Xu Wang et al.
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
Yifan Zhang, Haolong Xiang, Xiaolong Xu et al.
GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection
Xiong Zhang, Hong Peng, Zhenli He et al.
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
Huanyao Zhang, Jiaye Lin, Wentao Zhang et al.
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
Hao Zhang, Mingyue Cheng, Zhiding Liu et al.
Device-Cloud Collaborative Correction for On-Device Recommendation
Tianyu Zhan, Shengyu Zhang, Zheqi Lv et al.
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
Wenzhen Yue, Yong Liu, Xianghua Ying et al.
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction
Shilu Yuan, Xiaoyu Li, Wenqian Mu et al.
A Centrality-based Graph Learning Framework
Jiajun Yu, Zhihao Wu, Jielong Lu et al.
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
Di Yu, Changze Lv, Xin Du et al.
A Prior-based Discrete Diffusion Model for Social Graph Generation
Shu Yin, Dongpeng Hou, Lianwei Wu et al.
Coupling Category Alignment for Graph Domain Adaptation
Nan Yin, Xiao Teng, Zhiguang Cao et al.
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach
Yang Yang, Xixian Wu, Qing-Yuan Jiang
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning
Min Yang, Yang An, Jinliang Deng et al.
Universal Graph Self-Contrastive Learning
Liang Yang, Yukun Cai, Hui Ning et al.
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
Kuo Yang, Yunhe Guo, Qihe Huang et al.
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
Han Yan, Dongliang Chen, Guiyuan Jiang et al.
Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation
Yuanbo Xu, Hongxu Shen, Yiheng Jiang et al.
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation
Hangtong Xu, Yuanbo Xu, Huayuan Liu et al.
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing
Shuyin Xia, Guan Wang, Gaojie Xu et al.
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
Nannan Wu, Hongdou Dong, Wenjun Wang et al.
Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling
Wenchao Weng, Hanyu Jiang, Mei Wu et al.
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang, Xiao Yan, Shiyu Jin et al.
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
Yuling Wang, Zihui Chen, Pengfei Jiao et al.
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
Yuchen Wang, Dongpeng Hou, Chao Gao et al.