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Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

, , , , , , , , , , и . KDD, стр. 237-249. ACM, (2023)

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Jingwen Dai

Jingwen Guan

Jingwen Zhu

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Fei Ye

 

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Spot-Adaptive Knowledge Distillation., , , и . IEEE Trans. Image Process., (2022)Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization., , , , , , , , , и 1 other автор(ы). KDD, стр. 237-249. ACM, (2023)DEPARA: Deep Attribution Graph for Deep Knowledge Transferability., , , , , , и . CVPR, стр. 3921-3929. Computer Vision Foundation / IEEE, (2020)DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation., , , и . ECCV (16), том 13676 из Lecture Notes in Computer Science, стр. 72-90. Springer, (2022)Learning with Recoverable Forgetting., , , , , , , и . ECCV (11), том 13671 из Lecture Notes in Computer Science, стр. 87-103. Springer, (2022)Finer-Net: Cascaded Human Parsing with Hierarchical Granularity., , , и . ICME, стр. 1-6. IEEE Computer Society, (2018)Data Cleaning and AutoML: Would an Optimizer Choose to Clean?, , , , и . Datenbank-Spektrum, 22 (2): 121-130 (2022)Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate., , и . CoRR, (2023)Unleashing the Potential of Adaptation Models via Go-getting Domain Labels., , , , , , , , , и . ECCV Workshops (8), том 13808 из Lecture Notes in Computer Science, стр. 308-325. Springer, (2022)Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers., , , , и . IJCAI, стр. 4128-4134. ijcai.org, (2019)