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Learning and Reasoning on Graph for Recommendation., , and . WSDM, page 890-893. ACM, (2020)A Survey of Adversarial Learning on Graphs., , , , , , , and . CoRR, (2020)Reinforced Negative Sampling for Recommendation with Exposure Data., , , , and . IJCAI, page 2230-2236. ijcai.org, (2019)A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (5): 2560-2571 (2022)Adversarial Attack on Large Scale Graph., , , , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 82-95 (2023)On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner., , , , , , and . CoRR, (2020)Deep Learning for Matching in Search and Recommendation., , and . Found. Trends Inf. Retr., 14 (2-3): 102-288 (2020)Multimedia Recommender Systems: Algorithms and Challenges., , , , and . Recommender Systems Handbook, Springer US, (2022)TriRank: Review-aware Explainable Recommendation by Modeling Aspects., , , and . CIKM, page 1661-1670. ACM, (2015)SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities., , , , , and . CIKM, page 2567-2568. ACM, (2017)