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Jiyang Bai (白霁阳)
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*: Equal Contribution
Conference Publications:
POLIGRAS: Policy-based Graph Summarization
Jiyang Bai and Peixiang Zhao
Proceedings of the VLDB Endowment, Vol.17 (10) (VLDB’24), 2024TaGSim: Type-aware Graph Similarity Learning and Computation
Jiyang Bai and Peixiang Zhao
Proceedings of the VLDB Endowment, Vol.15 (2) (VLDB’22), 2022Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren*, Jiyang Bai*, and Jiawei Zhang
Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA’21), 2021Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Networks
Jiyang Bai*, Yuxiang Ren*, and Jiawei Zhang
Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN’21), 2021BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
Jiyang Bai, Yuxiang Ren, and Jiawei Zhang
Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN’21), 2021DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
Jiyang Bai, Yuxiang Ren, and Jiawei Zhang
Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’20), 2020LATTE: Application Oriented Social Network Embedding
Lin Meng, Jiyang Bai, and Jiawei Zhang
Proceedings of the 36th IEEE International Conference on Big Data (IEEE BigData’19), 2019
Journal Publications:
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Jiyang Bai*, Yuxiang Ren* and Jiawei Zhang
International Journal of Intelligent Systems (IJIS’22), 2022Adaptive Momentum with Discriminative Weight for Neural Network Stochastic Optimization
Jiyang Bai*, Yuxiang Ren* and Jiawei Zhang
International Journal of Intelligent Systems (IJIS’22), 2022