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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels., , , и . WWW, стр. 1204-1214. ACM / IW3C2, (2021)Accelerating Privacy-Preserving Machine Learning With GeniBatch., , , , , , , и . EuroSys, стр. 489-504. ACM, (2024)Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting., , и . KDD, стр. 731-741. ACM, (2022)A Survey on Vertical Federated Learning: From a Layered Perspective., , , , , , , , и . CoRR, (2023)DANE: Domain Adaptive Network Embedding., , , , и . IJCAI, стр. 4362-4368. ijcai.org, (2019)GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks., , , , , и . AAAI, стр. 4206-4214. AAAI Press, (2021)GraLSP: Graph Neural Networks with Local Structural Patterns., , и . AAAI, стр. 4361-4368. AAAI Press, (2020)Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach., , , , , и . CIKM, стр. 409-418. ACM, (2019)Efficient Decentralized Federated Singular Vector Decomposition., , , , , , и . USENIX ATC, стр. 1029-1047. USENIX Association, (2024)A Dual-Output Picowatt Hybrid Voltage Reference with Digital Trimming Technique., , , , , , и . NEWCAS, стр. 1-5. IEEE, (2023)