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HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.

, , , , , , and . Proc. VLDB Endow., 15 (2): 312-320 (2021)

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GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing., , , , , , , , and . CoRR, (2021)HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework., , , , , , and . Proc. VLDB Endow., 15 (2): 312-320 (2021)PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm., , , , , , , , and . WWW, page 1817-1828. ACM, (2022)Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent., , , , , , , and . Proc. VLDB Endow., 16 (12): 3781-3794 (2023)P2CG: a privacy preserving collaborative graph neural network training framework., , , , , , , , and . VLDB J., 32 (4): 717-736 (July 2023)Classification via Minimum Incremental Coding Length., , , , and . SIAM J. Imaging Sci., 2 (2): 367-395 (2009)Graph Attention Multi-Layer Perceptron., , , , , , , and . CoRR, (2021)VEND: Vertex Encoding for Edge Nonexistence Determination., , , , , , , and . ICDE, page 328-340. IEEE, (2023)Classification via Minimum Incremental Coding Length (MICL)., , , , and . NIPS, page 1633-1640. Curran Associates, Inc., (2007)BlindFL: Vertical Federated Machine Learning without Peeking into Your Data., , , , and . SIGMOD Conference, page 1316-1330. ACM, (2022)