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Adversarially Regularized Graph Autoencoder for Graph Embedding.

, , , , , and . IJCAI, page 2609-2615. ijcai.org, (2018)

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Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction., , , , , and . ICONIP (2), volume 13109 of Lecture Notes in Computer Science, page 479-490. Springer, (2021)WeightRelay: Efficient Heterogeneous Federated Learning on Time Series., and . AI (1), volume 14471 of Lecture Notes in Computer Science, page 129-140. Springer, (2023)Personalized Federated Learning with Robust Clustering Against Model Poisoning., , and . ADMA (2), volume 13726 of Lecture Notes in Computer Science, page 238-252. Springer, (2022)Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records., , , , and . IJCNN, page 1-8. IEEE, (2019)Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior., , , , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 40-51. Springer, (2016)Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop., , , and . SERVICES, page 490-497. IEEE Computer Society, (2011)Adversarially Regularized Graph Autoencoder for Graph Embedding., , , , , and . IJCAI, page 2609-2615. ijcai.org, (2018)Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling., , , , , and . IJCAI, page 4345-4352. ijcai.org, (2018)Dual-Personalizing Adapter for Federated Foundation Models., , , , and . CoRR, (2024)A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models., , , , , and . Knowl. Based Syst., (2024)