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Domain Adaptive Graph Infomax via Conditional Adversarial Networks., , , , , and . IEEE Trans. Netw. Sci. Eng., 10 (1): 35-52 (2023)Adversarial training regularization for negative sampling based network embedding., , , , , and . Inf. Sci., (2021)Social Attentive Deep Q-Networks for Recommender Systems., , , , and . IEEE Trans. Knowl. Data Eng., 34 (5): 2443-2457 (2022)Causal Analysis Framework for Recommendation., , , , , , , , and . CoRR, (2022)Dual Sequence Transformer for Query-based Interactive Recommendation., , , , , , , and . MDM, page 139-144. IEEE, (2021)Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy., , , , , , and . CoRR, (2023)Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs., , , , and . CoRR, (2021)Recommendation with User Active Disclosing Willingness., , , and . CoRR, (2022)Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation., , , and . COLING, page 2823-2833. International Committee on Computational Linguistics, (2022)SimpleX: A Simple and Strong Baseline for Collaborative Filtering., , , , , , and . CIKM, page 1243-1252. ACM, (2021)