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Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.

, , , , and . SIGIR, page 1081-1084. ACM, (2019)

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Going Deeper into Permutation-Sensitive Graph Neural Networks., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9377-9409. PMLR, (2022)Detecting Context Dependent Messages in a Conversational Environment., , , , , and . COLING, page 1990-1999. ACL, (2016)Hubness-aware User Identity Linkage., , , , and . CIKM, page 3196-3200. ACM, (2021)Network embedding by fusing multimodal contents and links., , , , and . Knowl. Based Syst., (2019)EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing., , , , , , , and . CoRR, (2022)TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems., , , , , , and . SIGIR, page 1285-1295. ACM, (2024)GPT4Rec: Graph Prompt Tuning for Streaming Recommendation., , , , , , , and . SIGIR, page 1774-1784. ACM, (2024)Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks., , , , and . NeurIPS, (2023)FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection., , , , , and . CoRR, (2024)EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing., , , , , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 34 (8): 7467-7483 (August 2024)