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Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction., , , , , , , and . KDD, page 4426-4436. ACM, (2023)Information Maximization via Variational Autoencoders for Cross-Domain Recommendation., , , , , , , and . CoRR, (2024)Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning., , , , , , , and . RecSys, page 151-160. ACM, (2023)Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining., , , , , , , and . IEEE Trans. Knowl. Data Eng., 36 (5): 1979-1990 (May 2024)Neural Node Matching for Multi-Target Cross Domain Recommendation., , , , , , , and . ICDE, page 2154-2166. IEEE, (2023)Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random., , , , , and . CoRR, (2024)Selective and collaborative influence function for efficient recommendation unlearning., , , , , , and . Expert Syst. Appl., (December 2023)Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach., , , , , , , , , and . CoRR, (2023)Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions., , , , , , , and . WWW, page 3173-3184. ACM, (2024)Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward., , , , , , , , and . AAAI, page 9250-9259. AAAI Press, (2024)