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gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items., , and . AAAI, page 3448-3456. AAAI Press, (2018)On Recommending Job Openings., , , , and . HT, page 331-332. ACM, (2015)MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation., , , and . CIKM, page 993-1002. ACM, (2022)Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results., , and . CIKM, page 2113-2116. ACM, (2020)THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks., , , and . ICDM, page 1035-1040. IEEE, (2022)AiRS: A Large-Scale Recommender System at NAVER News., , , , , , , , , and 9 other author(s). ICDE, page 3386-3398. IEEE, (2022)ASiNE: Adversarial Signed Network Embedding., , , and . SIGIR, page 609-618. ACM, (2020)Linear, or Non-Linear, That is the Question!, , , , , , and . WSDM, page 517-525. ACM, (2022)Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data., , , , , , and . SMC, page 2966-2971. IEEE, (2016)Exploiting job transition patterns for effective job recommendation., , , and . SMC, page 2414-2419. IEEE, (2017)