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HID: Hierarchical Multiscale Representation Learning for Information Diffusion.

, , , , , и . IJCAI, стр. 3385-3391. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..

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HID: Hierarchical Multiscale Representation Learning for Information Diffusion., , , , , и . IJCAI, стр. 3385-3391. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..FedCT: Federated Collaborative Transfer for Recommendation., , , , , и . SIGIR, стр. 716-725. ACM, (2021)VIP5: Towards Multimodal Foundation Models for Recommendation., , , , и . EMNLP (Findings), стр. 9606-9620. Association for Computational Linguistics, (2023)HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation., , , , , , и . SIGIR, стр. 2415-2421. ACM, (2021)Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning., , , , , , и . WWW, стр. 1018-1027. ACM, (2022)IUI 2021 Tutorial on Conversational Recommendation Systems., , , и . IUI Companion, стр. 1-2. ACM, (2021)Faithfully Explainable Recommendation via Neural Logic Reasoning., , , , и . NAACL-HLT, стр. 3083-3090. Association for Computational Linguistics, (2021)Explainable Fairness in Recommendation., , , , , , , , , и . SIGIR, стр. 681-691. ACM, (2022)Efficient Non-Sampling Knowledge Graph Embedding., , , , , , и . WWW, стр. 1727-1736. ACM / IW3C2, (2021)Contrastive Visual-Linguistic Pretraining., , , , , , , , и . CoRR, (2020)