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FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data.

, , , , , and . IJCAI, page 2074-2080. ijcai.org, (2019)

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Two-stage Training of Graph Neural Networks for Graph Classification., , and . CoRR, (2020)EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting., , , , , , , and . WWW, page 3102-3112. ACM, (2022)Precursor-of-Anomaly Detection for Irregular Time Series., , and . KDD, page 917-929. ACM, (2023)Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting., , , , and . CoRR, (2021)Graph Neural Controlled Differential Equations for Traffic Forecasting., , , and . AAAI, page 6367-6374. AAAI Press, (2022)Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2024)Parameterized Physics-informed Neural Networks for Parameterized PDEs., , , , , , and . ICML, OpenReview.net, (2024)Polynomial-based Self-Attention for Table Representation Learning., , , , and . ICML, OpenReview.net, (2024)MMGAN: Manifold Matching Generative Adversarial Network, , , , , , , and . (2017)cite arxiv:1707.08273Comment: the 24th International Conference on Pattern Recognition (ICPR), 2018.An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention., , , and . AAAI, page 8984-8992. AAAI Press, (2024)