Origin-Destination Matrix Prediction via Graph Convolution

Yuandong Wang, Hongzhi Yin, Hongxu Chen, +3

Geometric LearningTransport Network AnalysisEngineeringMachine LearningNew York +16

PME

Hongxu Chen, Hongzhi Yin, Weiqing Wang, +3

Graph Neural NetworkNetwork ScienceMachine LearningGraph TheoryData Science +13

Towards Unsupervised Deep Graph Structure Learning

Yixin Liu, Yu Zheng, Daokun Zhang, +3

Proceedings of the ACM Web Conference 2022

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

Hongxu Chen, Hongzhi Yin, Xiangguo Sun, +3

EngineeringMachine LearningNetwork AnalysisSocial Network AnalyticsLink Prediction +17

Short-Term Load Forecasting Using Channel and Temporal Attention Based Temporal Convolutional Network

Xianlun Tang, Hongxu Chen, Wenhao Xiang, +2

Electric Power Systems Research

Forecasting MethodologyEngineeringMachine LearningData ScienceTemporal Attention +7

A Diffusion-Based Framework for Multi-Class Anomaly Detection

Haoyang He, Jiangning Zhang, Hongxu Chen, +6

Proceedings of the AAAI Conference on Artificial Intelligence

Difusion-based Anomaly DetectionAnomaly DetectionMachine LearningData ScienceData Mining +12

Heterogeneous Hypergraph Embedding for Graph Classification

Xiangguo Sun, Hongzhi Yin, Bo Liu, +4

EngineeringMachine LearningGraph ClassificationGraph Signal ProcessingGraph Processing +15

Disease Prediction via Graph Neural Networks

Zhenchao Sun, Hongzhi Yin, Hongxu Chen, +3

IEEE Journal of Biomedical and Health Informatics

Graph Neural NetworkHealth InformaticsGraph TheoryData ScienceMachine Learning +13

Temporal Meta-path Guided Explainable Recommendation

Hongxu Chen, Yicong Li, Xiangguo Sun, +2

Artificial IntelligenceEngineeringMachine LearningSequential LearningNatural Language Processing +15

AIR: Attentional Intention-Aware Recommender Systems

Tong Chen, Hongzhi Yin, Hongxu Chen, +3

Artificial IntelligenceEngineeringMachine LearningSequential LearningCommunication +20