 SE-GSL: A General and Effective Graph Structure Learning Framework
through Structural Entropy OptimizationThe Web Conference (WWW), 2023 |
 MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood
Feature DistributionWeb Search and Data Mining (WSDM), 2022 |
 Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using
Graph Neural NetworksIEEE Internet of Things Journal (IEEE IoT Journal), 2021 |
 A unified framework based on graph consensus term for multi-view
learningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
 Self-supervised Learning on Graphs: Contrastive, Generative,or
PredictiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 |
 Graph Self-Supervised Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 |
 Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 |
