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Learning Large-scale Universal User Representation with Sparse Mixture of Experts., , , , , and . CoRR, (2022)LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs., , , , , , , , , and 3 other author(s). AAAI, page 19189-19196. AAAI Press, (2024)Enhancing Recommender Systems with Large Language Model Reasoning Graphs., , , , , , , , , and 3 other author(s). CoRR, (2023)EasyTPP: Towards Open Benchmarking the Temporal Point Processes., , , , , , , , , and 3 other author(s). CoRR, (2023)Continual Learning in Predictive Autoscaling., , , , , , , , , and . CoRR, (2023)Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference., , , , , , , , , and 2 other author(s). CoRR, (2023)Prompt-augmented Temporal Point Process for Streaming Event Sequence., , , , , , , , , and . NeurIPS, (2023)Leveraging Large Language Models for Pre-trained Recommender Systems., , , , , , , , , and 2 other author(s). CoRR, (2023)A Graph Regularized Point Process Model For Event Propagation Sequence., , , , , , and . IJCNN, page 1-7. IEEE, (2021)EasyTPP: Towards Open Benchmarking Temporal Point Processes., , , , , , , , , and 2 other author(s). ICLR, OpenReview.net, (2024)